diff --git a/extras/mmdeploy/README.md b/extras/mmdeploy/README.md
index c382915..168bfc1 100644
--- a/extras/mmdeploy/README.md
+++ b/extras/mmdeploy/README.md
@@ -70,7 +70,8 @@ mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/expor
```
```bash
-python3 /RapidPoseTriangulation/extras/mmdeploy/make_extra_graphs.py
+python3 /RapidPoseTriangulation/extras/mmdeploy/make_extra_graphs_pt.py
+python3 /RapidPoseTriangulation/extras/mmdeploy/make_extra_graphs_tf.py
```
```bash
diff --git a/extras/mmdeploy/add_extra_steps.py b/extras/mmdeploy/add_extra_steps.py
index 4eb822b..d3ace0e 100644
--- a/extras/mmdeploy/add_extra_steps.py
+++ b/extras/mmdeploy/add_extra_steps.py
@@ -54,6 +54,7 @@ def add_steps_to_onnx(model_path):
inputs=[input_name],
outputs=[casted_output],
to=cast_type,
+ name="Cast_Input",
)
# Node to transpose
@@ -118,6 +119,90 @@ def add_steps_to_onnx(model_path):
# Set input image type to int8
model.graph.input[0].type.tensor_type.elem_type = TensorProto.UINT8
+ # Cast all outputs to fp32 to avoid half precision issues in cpp code
+ for output in graph.output:
+ orig_output_name = output.name
+ internal_output_name = orig_output_name + "_internal"
+
+ # Rename the output tensor
+ for node in model.graph.node:
+ for idx, name in enumerate(node.output):
+ if name == orig_output_name:
+ node.output[idx] = internal_output_name
+
+ # Insert a Cast node that casts the internal output to fp32
+ cast_fp32_name = orig_output_name
+ cast_node_output = helper.make_node(
+ "Cast",
+ inputs=[internal_output_name],
+ outputs=[cast_fp32_name],
+ to=1,
+ name="Cast_Output_" + orig_output_name,
+ )
+ # Append the cast node to the graph
+ graph.node.append(cast_node_output)
+
+ # Update the output's data type info
+ output.type.tensor_type.elem_type = TensorProto.FLOAT
+
+ # Merge the two outputs
+ if "det" in model_path:
+ r1_output = "dets"
+ r2_output = "labels"
+ out_name = "bboxes"
+ out_dim = 6
+ if "pose" in model_path:
+ r1_output = "kpts"
+ r2_output = "scores"
+ out_name = "keypoints"
+ out_dim = 3
+ if "det" in model_path or "pose" in model_path:
+ # Node to expand
+ r2_expanded = r2_output + "_expanded"
+ unsqueeze_node = helper.make_node(
+ "Unsqueeze",
+ inputs=[r2_output],
+ outputs=[r2_expanded],
+ axes=[2],
+ name="Unsqueeze",
+ )
+
+ # Node to concatenate
+ r12_merged = out_name
+ concat_node = helper.make_node(
+ "Concat",
+ inputs=[r1_output, r2_expanded],
+ outputs=[r12_merged],
+ axis=2,
+ name="Merged",
+ )
+
+ # Define the new concatenated output
+ merged_output = helper.make_tensor_value_info(
+ r12_merged,
+ TensorProto.FLOAT,
+ [
+ (
+ graph.input[0].type.tensor_type.shape.dim[0].dim_value
+ if graph.input[0].type.tensor_type.shape.dim[0].dim_value > 0
+ else None
+ ),
+ (
+ graph.output[0].type.tensor_type.shape.dim[1].dim_value
+ if graph.output[0].type.tensor_type.shape.dim[1].dim_value > 0
+ else None
+ ),
+ out_dim,
+ ],
+ )
+
+ # Update the graph
+ graph.node.append(unsqueeze_node)
+ graph.node.append(concat_node)
+ graph.output.pop()
+ graph.output.pop()
+ graph.output.append(merged_output)
+
path = re.sub(r"(x)(\d+)x(\d+)x(\d+)", r"\1\3x\4x\2", model_path)
path = path.replace(".onnx", "_extra-steps.onnx")
onnx.save(model, path)
diff --git a/extras/mmdeploy/dockerfile b/extras/mmdeploy/dockerfile
index b285ba6..313be15 100644
--- a/extras/mmdeploy/dockerfile
+++ b/extras/mmdeploy/dockerfile
@@ -34,5 +34,8 @@ RUN pip3 install --upgrade --no-cache-dir onnxconverter_common
# Fix an error when profiling
RUN pip3 install --upgrade --no-cache-dir "onnxruntime-gpu<1.17"
+RUN pip3 install --upgrade --no-cache-dir tensorflow
+RUN pip3 install --upgrade --no-cache-dir tf2onnx
+
WORKDIR /mmdeploy/
CMD ["/bin/bash"]
diff --git a/extras/mmdeploy/make_extra_graphs.py b/extras/mmdeploy/make_extra_graphs_pt.py
similarity index 100%
rename from extras/mmdeploy/make_extra_graphs.py
rename to extras/mmdeploy/make_extra_graphs_pt.py
diff --git a/extras/mmdeploy/make_extra_graphs_tf.py b/extras/mmdeploy/make_extra_graphs_tf.py
new file mode 100644
index 0000000..3cf1d27
--- /dev/null
+++ b/extras/mmdeploy/make_extra_graphs_tf.py
@@ -0,0 +1,276 @@
+import cv2
+
+import numpy as np
+import tensorflow as tf
+import tf2onnx
+
+# ==================================================================================================
+
+base_path = "/RapidPoseTriangulation/extras/mmdeploy/exports/"
+det_target_size = (320, 320)
+
+# ==================================================================================================
+
+
+class BayerToRGB(tf.keras.layers.Layer):
+ """Convert Bayer image to RGB
+ See: https://stanford.edu/class/ee367/reading/Demosaicing_ICASSP04.pdf
+ See: https://github.com/cheind/pytorch-debayer/blob/master/debayer/modules.py#L231
+ """
+
+ def __init__(self):
+ super().__init__()
+ self.layout = "RGGB"
+ self.max_val = 255.0
+
+ self.kernels = tf.constant(
+ np.array(
+ [
+ # G at R/B locations
+ [
+ [0, 0, -1, 0, 0],
+ [0, 0, 2, 0, 0],
+ [-1, 2, 4, 2, -1],
+ [0, 0, 2, 0, 0],
+ [0, 0, -1, 0, 0],
+ ],
+ # R/B at G in R/B rows and B/R columns
+ [
+ [0, 0, 0.5, 0, 0],
+ [0, -1, 0, -1, 0],
+ [-1, 4, 5, 4, -1],
+ [0, -1, 0, -1, 0],
+ [0, 0, 0.5, 0, 0],
+ ],
+ # R/B at G in B/R rows and R/B columns
+ [
+ [0, 0, 0.5, 0, 0],
+ [0, -1, 4, -1, 0],
+ [-1, 0, 5, 0, -1],
+ [0, -1, 4, -1, 0],
+ [0, 0, 0.5, 0, 0],
+ ],
+ # R/B at B/R in B/R rows and B/R columns
+ [
+ [0, 0, -1.5, 0, 0],
+ [0, 2, 0, 2, 0],
+ [-1.5, 0, 6, 0, -1.5],
+ [0, 2, 0, 2, 0],
+ [0, 0, -1.5, 0, 0],
+ ],
+ ],
+ dtype=np.float32,
+ )
+ .reshape(1, 4, 5, 5)
+ .transpose(2, 3, 0, 1)
+ / 8.0
+ )
+ self.index = tf.constant(
+ np.array(
+ # Describes the kernel indices that calculate the corresponding RGB values for
+ # the 2x2 layout (RGGB) sub-structure
+ [
+ # Destination R
+ [
+ [4, 1], # identity, R at G in R row B column
+ [2, 3], # R at G in B row R column, R at B in B row R column
+ ],
+ # Destination G
+ [
+ [0, 4],
+ [4, 0],
+ ],
+ # Destination B
+ [
+ [3, 2],
+ [1, 4],
+ ],
+ ]
+ ).reshape(1, 3, 2, 2)
+ )
+
+ def call(self, img):
+ H, W = tf.shape(img)[1], tf.shape(img)[2]
+
+ # Pad the image
+ tpad = img[:, 0:2, :, :]
+ bpad = img[:, H - 2 : H, :, :]
+ ipad = tf.concat([tpad, img, bpad], axis=1)
+ lpad = ipad[:, :, 0:2, :]
+ rpad = ipad[:, :, W - 2 : W, :]
+ ipad = tf.concat([lpad, ipad, rpad], axis=2)
+
+ # Convolve with kernels
+ planes = tf.nn.conv2d(ipad, self.kernels, strides=[1, 1, 1, 1], padding="VALID")
+
+ # Concatenate identity kernel
+ planes = tf.concat([planes, img], axis=-1)
+
+ # Gather values
+ index_repeated = tf.tile(self.index, multiples=[1, 1, H // 2, W // 2])
+ index_repeated = tf.transpose(index_repeated, perm=[0, 2, 3, 1])
+ row_indices, col_indices = tf.meshgrid(tf.range(H), tf.range(W), indexing="ij")
+ index_tensor = tf.stack([row_indices, col_indices], axis=-1)
+ index_tensor = tf.expand_dims(index_tensor, axis=0)
+ index_tensor = tf.expand_dims(index_tensor, axis=-2)
+ index_tensor = tf.repeat(index_tensor, repeats=3, axis=-2)
+ index_repeated = tf.expand_dims(index_repeated, axis=-1)
+ indices = tf.concat([tf.cast(index_tensor, tf.int64), index_repeated], axis=-1)
+ rgb = tf.gather_nd(planes, indices, batch_dims=1)
+
+ if self.max_val == 255.0:
+ # Make value range valid again
+ rgb = tf.round(rgb)
+
+ return rgb
+
+
+# ==================================================================================================
+
+
+def bayer_resize(img, size):
+ """Resize a Bayer image by splitting color channels"""
+
+ # Split the image into 4 channels
+ r = img[:, 0::2, 0::2, 0]
+ g1 = img[:, 0::2, 1::2, 0]
+ g2 = img[:, 1::2, 0::2, 0]
+ b = img[:, 1::2, 1::2, 0]
+ bsplit = tf.stack([r, g1, g2, b], axis=-1)
+
+ # Resize the image
+ # Make sure the target size is divisible by 2
+ size = (size[0] // 2, size[1] // 2)
+ bsized = tf.image.resize(bsplit, size=size, method="bilinear")
+
+ # Create a bayer image again
+ img = tf.nn.depth_to_space(bsized, block_size=2)
+
+ return img
+
+
+# ==================================================================================================
+
+
+class Letterbox(tf.keras.layers.Layer):
+ def __init__(self, target_size, fill_value=128):
+ """Resize and pad image while keeping aspect ratio"""
+ super(Letterbox, self).__init__()
+
+ self.b2rgb = BayerToRGB()
+ self.target_size = target_size
+ self.fill_value = fill_value
+
+ def calc_params(self, ishape):
+ img_h, img_w = ishape[1], ishape[2]
+ target_h, target_w = self.target_size
+
+ scale = tf.minimum(target_w / img_w, target_h / img_h)
+ new_w = tf.round(tf.cast(img_w, scale.dtype) * scale)
+ new_h = tf.round(tf.cast(img_h, scale.dtype) * scale)
+ new_w = tf.cast(new_w, tf.int32)
+ new_h = tf.cast(new_h, tf.int32)
+ new_w = new_w - (new_w % 2)
+ new_h = new_h - (new_h % 2)
+
+ pad_w = target_w - new_w
+ pad_h = target_h - new_h
+ pad_left = tf.cast(tf.floor(tf.cast(pad_w, tf.float32) / 2.0), tf.int32)
+ pad_top = tf.cast(tf.floor(tf.cast(pad_h, tf.float32) / 2.0), tf.int32)
+ pad_right = pad_w - pad_left
+ pad_bottom = pad_h - pad_top
+ paddings = [pad_top, pad_bottom, pad_left, pad_right]
+
+ return paddings, scale, (new_w, new_h)
+
+ def call(self, img):
+ paddings, _, (nw, nh) = self.calc_params(tf.shape(img))
+
+ # Resize the image and convert to RGB
+ img = bayer_resize(img, (nh, nw))
+ img = self.b2rgb(img)
+
+ # Pad the image
+ pad_top, pad_bottom, pad_left, pad_right = paddings
+ img = tf.pad(
+ img,
+ paddings=[[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]],
+ mode="CONSTANT",
+ constant_values=self.fill_value,
+ )
+
+ return img
+
+
+# ==================================================================================================
+
+
+class DetPreprocess(tf.keras.layers.Layer):
+ def __init__(self, target_size, fill_value=114):
+ super(DetPreprocess, self).__init__()
+ self.letterbox = Letterbox(target_size, fill_value)
+
+ def call(self, img):
+ """img: tf.Tensor of shape [batch, H, W, C], dtype=tf.uint8"""
+
+ # Cast to float32 since TensorRT does not support uint8 layers
+ img = tf.cast(img, tf.float32)
+
+ img = self.letterbox(img)
+ return img
+
+
+# ==================================================================================================
+
+
+def rgb2bayer(img):
+ bayer = np.zeros((img.shape[0], img.shape[1]), dtype=img.dtype)
+ bayer[0::2, 0::2] = img[0::2, 0::2, 0]
+ bayer[0::2, 1::2] = img[0::2, 1::2, 1]
+ bayer[1::2, 0::2] = img[1::2, 0::2, 1]
+ bayer[1::2, 1::2] = img[1::2, 1::2, 2]
+ return bayer
+
+
+# ==================================================================================================
+
+
+def main():
+
+ img_path = "/RapidPoseTriangulation/scripts/../data/h1/54138969-img_003201.jpg"
+ image = cv2.imread(img_path, 3)
+ image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+ image = rgb2bayer(image)
+ image = np.expand_dims(image, axis=-1)
+ image = np.asarray(image, dtype=np.uint8)
+
+ # Initialize the DetPreprocess module
+ preprocess_model = tf.keras.Sequential()
+ preprocess_model.add(DetPreprocess(target_size=det_target_size))
+ det_dummy_input_a0 = tf.convert_to_tensor(
+ np.expand_dims(image, axis=0), dtype=tf.uint8
+ )
+ det_dummy_output_a0 = preprocess_model(det_dummy_input_a0)
+ print("\n", det_dummy_output_a0.shape, "\n")
+
+ output_a0 = det_dummy_output_a0.numpy()
+ output_a0 = np.squeeze(output_a0, axis=0)
+ output_a0 = np.asarray(output_a0, dtype=np.uint8)
+ output_a0 = cv2.cvtColor(output_a0, cv2.COLOR_RGB2BGR)
+ cv2.imwrite(base_path + "det_preprocess.jpg", output_a0)
+
+ # Export to ONNX
+ input_signature = [tf.TensorSpec([None, None, None, 1], tf.uint8, name="x")]
+ _, _ = tf2onnx.convert.from_keras(
+ preprocess_model,
+ input_signature,
+ opset=11,
+ output_path=base_path + "det_preprocess.onnx",
+ target=["tensorrt"],
+ )
+
+
+# ==================================================================================================
+
+if __name__ == "__main__":
+ main()
diff --git a/media/RESULTS.md b/media/RESULTS.md
index df99e2d..fa7b2ac 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -7,10 +7,10 @@ Results of the model in various experiments on different datasets. \
```json
{
- "img_loading": 0.01979934926760399,
- "avg_time_2d": 0.008879996154267909,
- "avg_time_3d": 0.0003021462488982637,
- "avg_fps": 108.9070454467338
+ "img_loading": 0.02141373965699794,
+ "avg_time_2d": 0.009271658073037358,
+ "avg_time_3d": 0.00028209807509082857,
+ "avg_fps": 104.67087337119489
}
{
"person_nums": {
@@ -29,165 +29,165 @@ Results of the model in various experiments on different datasets. \
},
"mpjpe": {
"count": 600,
- "mean": 0.066667,
- "median": 0.058614,
- "std": 0.028022,
- "sem": 0.001145,
- "min": 0.043676,
- "max": 0.196063,
+ "mean": 0.061683,
+ "median": 0.053445,
+ "std": 0.028882,
+ "sem": 0.00118,
+ "min": 0.036411,
+ "max": 0.187982,
"recall-0.025": 0.0,
- "recall-0.05": 0.048333,
- "recall-0.1": 0.931667,
+ "recall-0.05": 0.34,
+ "recall-0.1": 0.938333,
"recall-0.15": 0.95,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600,
"ap-0.025": 0.0,
- "ap-0.05": 0.005384,
- "ap-0.1": 0.888068,
- "ap-0.15": 0.91386,
+ "ap-0.05": 0.189939,
+ "ap-0.1": 0.891718,
+ "ap-0.15": 0.909546,
"ap-0.25": 1.0,
"ap-0.5": 1.0
},
"nose": {
"count": 600,
- "mean": 0.11317,
- "median": 0.097143,
- "std": 0.041836,
- "sem": 0.001709,
- "min": 0.036359,
- "max": 0.312603,
- "recall-0.025": 0.0,
- "recall-0.05": 0.013333,
- "recall-0.1": 0.528333,
- "recall-0.15": 0.815,
- "recall-0.25": 0.993333,
+ "mean": 0.106141,
+ "median": 0.094448,
+ "std": 0.038366,
+ "sem": 0.001568,
+ "min": 0.024893,
+ "max": 0.246762,
+ "recall-0.025": 0.001667,
+ "recall-0.05": 0.041667,
+ "recall-0.1": 0.563333,
+ "recall-0.15": 0.87,
+ "recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"shoulder_left": {
"count": 600,
- "mean": 0.034127,
- "median": 0.025218,
- "std": 0.032234,
- "sem": 0.001317,
- "min": 0.002674,
- "max": 0.18039,
- "recall-0.025": 0.49,
- "recall-0.05": 0.853333,
- "recall-0.1": 0.945,
- "recall-0.15": 0.966667,
+ "mean": 0.035447,
+ "median": 0.026255,
+ "std": 0.033951,
+ "sem": 0.001387,
+ "min": 0.002737,
+ "max": 0.175181,
+ "recall-0.025": 0.471667,
+ "recall-0.05": 0.818333,
+ "recall-0.1": 0.94,
+ "recall-0.15": 0.961667,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"shoulder_right": {
"count": 600,
- "mean": 0.047591,
- "median": 0.034595,
- "std": 0.0413,
- "sem": 0.001687,
- "min": 0.004755,
- "max": 0.258638,
- "recall-0.025": 0.206667,
- "recall-0.05": 0.758333,
- "recall-0.1": 0.92,
- "recall-0.15": 0.943333,
- "recall-0.25": 0.996667,
+ "mean": 0.044417,
+ "median": 0.032206,
+ "std": 0.03933,
+ "sem": 0.001607,
+ "min": 0.004924,
+ "max": 0.213952,
+ "recall-0.025": 0.32,
+ "recall-0.05": 0.775,
+ "recall-0.1": 0.921667,
+ "recall-0.15": 0.948333,
+ "recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"elbow_left": {
"count": 600,
- "mean": 0.042798,
- "median": 0.034678,
- "std": 0.034312,
- "sem": 0.001402,
- "min": 0.004685,
- "max": 0.196545,
- "recall-0.025": 0.241667,
- "recall-0.05": 0.806667,
- "recall-0.1": 0.945,
- "recall-0.15": 0.956667,
+ "mean": 0.044487,
+ "median": 0.035673,
+ "std": 0.036114,
+ "sem": 0.001476,
+ "min": 0.000729,
+ "max": 0.198786,
+ "recall-0.025": 0.25,
+ "recall-0.05": 0.786667,
+ "recall-0.1": 0.933333,
+ "recall-0.15": 0.953333,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"elbow_right": {
"count": 600,
- "mean": 0.043928,
- "median": 0.032725,
- "std": 0.036551,
- "sem": 0.001493,
- "min": 0.005454,
- "max": 0.38468,
- "recall-0.025": 0.236667,
- "recall-0.05": 0.795,
- "recall-0.1": 0.933333,
- "recall-0.15": 0.946667,
+ "mean": 0.043388,
+ "median": 0.03166,
+ "std": 0.037156,
+ "sem": 0.001518,
+ "min": 0.003144,
+ "max": 0.305319,
+ "recall-0.025": 0.268333,
+ "recall-0.05": 0.818333,
+ "recall-0.1": 0.928333,
+ "recall-0.15": 0.941667,
"recall-0.25": 0.998333,
"recall-0.5": 1.0,
"num_labels": 600
},
"wrist_left": {
"count": 600,
- "mean": 0.042116,
- "median": 0.023567,
- "std": 0.046214,
- "sem": 0.001888,
- "min": 0.000925,
- "max": 0.29384,
- "recall-0.025": 0.52,
- "recall-0.05": 0.755,
+ "mean": 0.042448,
+ "median": 0.024983,
+ "std": 0.046527,
+ "sem": 0.001901,
+ "min": 0.002855,
+ "max": 0.346367,
+ "recall-0.025": 0.5,
+ "recall-0.05": 0.75,
"recall-0.1": 0.891667,
- "recall-0.15": 0.931667,
+ "recall-0.15": 0.94,
"recall-0.25": 0.996667,
"recall-0.5": 1.0,
"num_labels": 600
},
"wrist_right": {
- "count": 598,
- "mean": 0.046536,
- "median": 0.026456,
- "std": 0.056252,
- "sem": 0.002302,
- "min": 0.003099,
- "max": 0.490139,
- "recall-0.025": 0.47,
- "recall-0.05": 0.753333,
- "recall-0.1": 0.886667,
- "recall-0.15": 0.901667,
- "recall-0.25": 0.99,
- "recall-0.5": 0.996667,
+ "count": 600,
+ "mean": 0.048379,
+ "median": 0.027646,
+ "std": 0.058274,
+ "sem": 0.002381,
+ "min": 0.002667,
+ "max": 0.456727,
+ "recall-0.025": 0.433333,
+ "recall-0.05": 0.765,
+ "recall-0.1": 0.888333,
+ "recall-0.15": 0.903333,
+ "recall-0.25": 0.983333,
+ "recall-0.5": 1.0,
"num_labels": 600
},
"hip_left": {
"count": 600,
- "mean": 0.090083,
- "median": 0.085481,
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@@ -195,82 +195,82 @@ Results of the model in various experiments on different datasets. \
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{
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- "correct_parts": 8098,
- "pcp": 0.964048
+ "correct_parts": 8118,
+ "pcp": 0.966429
}
```
@@ -278,107 +278,107 @@ Results of the model in various experiments on different datasets. \
```json
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@@ -386,79 +386,79 @@ Results of the model in various experiments on different datasets. \
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@@ -466,15 +466,15 @@ Results of the model in various experiments on different datasets. \
},
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@@ -482,14 +482,14 @@ Results of the model in various experiments on different datasets. \
},
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@@ -498,15 +498,15 @@ Results of the model in various experiments on different datasets. \
},
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@@ -514,27 +514,27 @@ Results of the model in various experiments on different datasets. \
},
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}
}
@@ -549,59 +549,59 @@ Results of the model in various experiments on different datasets. \
```json
{
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+ "avg_time_2d": 0.008780407455732237,
+ "avg_time_3d": 0.0003352693791659373,
+ "avg_fps": 109.70112456944842
}
{
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@@ -609,210 +609,210 @@ Results of the model in various experiments on different datasets. \
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}
```
@@ -820,206 +820,206 @@ Results of the model in various experiments on different datasets. \
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}
{
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- "correct_parts": 6144,
- "pcp": 0.579076
+ "correct_parts": 6280,
+ "pcp": 0.591894
}
```
@@ -1027,270 +1027,270 @@ Results of the model in various experiments on different datasets. \
```json
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}
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}
{
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- "correct_parts": 19989,
- "pcp": 0.977744
+ "correct_parts": 20124,
+ "pcp": 0.984347
}
```
@@ -1298,270 +1298,270 @@ Results of the model in various experiments on different datasets. \
```json
{
- "img_loading": 0.0340202709523643,
- "avg_time_2d": 0.011720242732908668,
- "avg_time_3d": 0.00044612768219738473,
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+ "avg_time_3d": 0.0005443567182959579,
+ "avg_fps": 75.05003322048029
}
{
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+ "total_preds": 1419,
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+ "valid_preds": 1407,
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+ "missing": 59,
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},
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}
```
@@ -1569,270 +1569,270 @@ Results of the model in various experiments on different datasets. \
```json
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}
```
@@ -1841,270 +1841,270 @@ Results of the model in various experiments on different datasets. \
(duration 00:01:45)
```json
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}
```
@@ -2112,270 +2112,270 @@ Results of the model in various experiments on different datasets. \
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{
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+ "correct_parts": 10721,
+ "pcp": 0.981777
}
```
@@ -2384,10 +2384,10 @@ Results of the model in various experiments on different datasets. \
(duration 00:01:51)
```json
{
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+ "avg_fps": 34.18647427124472
}
{
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@@ -2406,36 +2406,36 @@ Results of the model in various experiments on different datasets. \
},
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@@ -2444,31 +2444,31 @@ Results of the model in various experiments on different datasets. \
},
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@@ -2476,15 +2476,15 @@ Results of the model in various experiments on different datasets. \
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@@ -2492,79 +2492,79 @@ Results of the model in various experiments on different datasets. \
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@@ -2572,82 +2572,82 @@ Results of the model in various experiments on different datasets. \
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{
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- "correct_parts": 8591,
- "pcp": 0.984642
+ "correct_parts": 8606,
+ "pcp": 0.986361
}
```
@@ -2657,10 +2657,10 @@ Results of the model in various experiments on different datasets. \
```json
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@@ -2679,37 +2679,37 @@ Results of the model in various experiments on different datasets. \
},
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@@ -2717,14 +2717,14 @@ Results of the model in various experiments on different datasets. \
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@@ -2733,14 +2733,14 @@ Results of the model in various experiments on different datasets. \
},
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@@ -2749,14 +2749,14 @@ Results of the model in various experiments on different datasets. \
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@@ -2765,14 +2765,14 @@ Results of the model in various experiments on different datasets. \
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@@ -2781,46 +2781,46 @@ Results of the model in various experiments on different datasets. \
},
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@@ -2829,14 +2829,14 @@ Results of the model in various experiments on different datasets. \
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@@ -2845,63 +2845,63 @@ Results of the model in various experiments on different datasets. \
},
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@@ -2909,18 +2909,18 @@ Results of the model in various experiments on different datasets. \
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{
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- "pcp": 0.997143
+ "correct_parts": 2794,
+ "pcp": 0.997857
}
```
@@ -2928,10 +2928,10 @@ Results of the model in various experiments on different datasets. \
```json
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@@ -3068,14 +3068,14 @@ Results of the model in various experiments on different datasets. \
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@@ -3084,78 +3084,78 @@ Results of the model in various experiments on different datasets. \
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@@ -3164,15 +3164,15 @@ Results of the model in various experiments on different datasets. \
},
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@@ -3180,110 +3180,110 @@ Results of the model in various experiments on different datasets. \
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@@ -3292,47 +3292,47 @@ Results of the model in various experiments on different datasets. \
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@@ -3340,14 +3340,14 @@ Results of the model in various experiments on different datasets. \
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@@ -3356,447 +3356,447 @@ Results of the model in various experiments on different datasets. \
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@@ -5116,14 +5116,14 @@ Results of the model in various experiments on different datasets. \
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@@ -5132,15 +5132,15 @@ Results of the model in various experiments on different datasets. \
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@@ -5148,50 +5148,50 @@ Results of the model in various experiments on different datasets. \
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}
```
@@ -5201,270 +5201,270 @@ Results of the model in various experiments on different datasets. \
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{
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- "pcp": 0.904286
+ "correct_parts": 5107,
+ "pcp": 0.911964
}
```
@@ -5472,10 +5472,10 @@ Results of the model in various experiments on different datasets. \
```json
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@@ -5494,21 +5494,21 @@ Results of the model in various experiments on different datasets. \
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@@ -5516,14 +5516,14 @@ Results of the model in various experiments on different datasets. \
},
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@@ -5532,15 +5532,15 @@ Results of the model in various experiments on different datasets. \
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@@ -5548,14 +5548,14 @@ Results of the model in various experiments on different datasets. \
},
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@@ -5564,14 +5564,14 @@ Results of the model in various experiments on different datasets. \
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@@ -5580,15 +5580,15 @@ Results of the model in various experiments on different datasets. \
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@@ -5596,47 +5596,47 @@ Results of the model in various experiments on different datasets. \
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@@ -5644,15 +5644,15 @@ Results of the model in various experiments on different datasets. \
},
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@@ -5660,30 +5660,30 @@ Results of the model in various experiments on different datasets. \
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@@ -5692,15 +5692,15 @@ Results of the model in various experiments on different datasets. \
},
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@@ -5708,26 +5708,26 @@ Results of the model in various experiments on different datasets. \
},
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}
@@ -5743,59 +5743,59 @@ Results of the model in various experiments on different datasets. \
```json
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{
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+ "correct_parts": 4601,
+ "pcp": 0.995887
}
```
@@ -6285,270 +6285,270 @@ Results of the model in various experiments on different datasets. \
```json
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}
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}
{
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- "correct_parts": 6708,
- "pcp": 0.989965
+ "correct_parts": 6751,
+ "pcp": 0.996311
}
```
@@ -6556,270 +6556,270 @@ Results of the model in various experiments on different datasets. \
```json
{
- "img_loading": 0.4311224242855359,
- "avg_time_2d": 0.05043543418707875,
- "avg_time_3d": 0.0028914909142290237,
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+ "avg_time_3d": 0.002479799910087806,
+ "avg_fps": 13.397062236207946
}
{
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+ "total_preds": 790,
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- "invalid_fraction": 0.06041,
- "precision": 0.93959,
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+ "valid_preds": 732,
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+ "recall": 1.0,
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```
@@ -6827,59 +6827,59 @@ Results of the model in various experiments on different datasets. \
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@@ -6935,31 +6935,31 @@ Results of the model in various experiments on different datasets. \
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"recall-0.15": 1.0,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
@@ -6967,15 +6967,15 @@ Results of the model in various experiments on different datasets. \
},
"wrist_right": {
"count": 362,
- "mean": 0.030253,
- "median": 0.023575,
- "std": 0.028573,
- "sem": 0.001504,
- "min": 0.001456,
- "max": 0.304691,
- "recall-0.025": 0.535912,
- "recall-0.05": 0.864641,
- "recall-0.1": 0.983425,
+ "mean": 0.028614,
+ "median": 0.023014,
+ "std": 0.027617,
+ "sem": 0.001454,
+ "min": 0.000565,
+ "max": 0.309303,
+ "recall-0.025": 0.538674,
+ "recall-0.05": 0.89779,
+ "recall-0.1": 0.98895,
"recall-0.15": 0.994475,
"recall-0.25": 0.994475,
"recall-0.5": 1.0,
@@ -6983,31 +6983,31 @@ Results of the model in various experiments on different datasets. \
},
"hip_left": {
"count": 362,
- "mean": 0.026354,
- "median": 0.023315,
- "std": 0.01518,
- "sem": 0.000799,
- "min": 0.002699,
- "max": 0.15654,
- "recall-0.025": 0.549724,
- "recall-0.05": 0.953039,
+ "mean": 0.0255,
+ "median": 0.022948,
+ "std": 0.014585,
+ "sem": 0.000768,
+ "min": 0.002524,
+ "max": 0.140758,
+ "recall-0.025": 0.552486,
+ "recall-0.05": 0.944751,
"recall-0.1": 0.997238,
- "recall-0.15": 0.997238,
+ "recall-0.15": 1.0,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 362
},
"hip_right": {
"count": 362,
- "mean": 0.028051,
- "median": 0.025509,
- "std": 0.016384,
- "sem": 0.000862,
- "min": 0.002476,
- "max": 0.215051,
- "recall-0.025": 0.461326,
- "recall-0.05": 0.939227,
- "recall-0.1": 0.997238,
+ "mean": 0.026037,
+ "median": 0.023594,
+ "std": 0.017228,
+ "sem": 0.000907,
+ "min": 0.001997,
+ "max": 0.188306,
+ "recall-0.025": 0.558011,
+ "recall-0.05": 0.936464,
+ "recall-0.1": 0.991713,
"recall-0.15": 0.997238,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
@@ -7015,14 +7015,14 @@ Results of the model in various experiments on different datasets. \
},
"knee_left": {
"count": 362,
- "mean": 0.014625,
- "median": 0.012931,
- "std": 0.007674,
- "sem": 0.000404,
- "min": 0.000793,
- "max": 0.053751,
- "recall-0.025": 0.903315,
- "recall-0.05": 0.997238,
+ "mean": 0.015771,
+ "median": 0.014171,
+ "std": 0.008043,
+ "sem": 0.000423,
+ "min": 0.002213,
+ "max": 0.04907,
+ "recall-0.025": 0.864641,
+ "recall-0.05": 1.0,
"recall-0.1": 1.0,
"recall-0.15": 1.0,
"recall-0.25": 1.0,
@@ -7031,13 +7031,13 @@ Results of the model in various experiments on different datasets. \
},
"knee_right": {
"count": 362,
- "mean": 0.016569,
- "median": 0.013809,
- "std": 0.017197,
- "sem": 0.000905,
- "min": 0.000436,
- "max": 0.268298,
- "recall-0.025": 0.889503,
+ "mean": 0.016923,
+ "median": 0.014611,
+ "std": 0.016323,
+ "sem": 0.000859,
+ "min": 0.001828,
+ "max": 0.259361,
+ "recall-0.025": 0.867403,
"recall-0.05": 0.991713,
"recall-0.1": 0.994475,
"recall-0.15": 0.997238,
@@ -7047,15 +7047,15 @@ Results of the model in various experiments on different datasets. \
},
"ankle_left": {
"count": 362,
- "mean": 0.024424,
- "median": 0.022628,
- "std": 0.011403,
- "sem": 0.0006,
- "min": 0.004148,
- "max": 0.108124,
- "recall-0.025": 0.599448,
- "recall-0.05": 0.972376,
- "recall-0.1": 0.997238,
+ "mean": 0.019707,
+ "median": 0.017121,
+ "std": 0.011593,
+ "sem": 0.00061,
+ "min": 0.001651,
+ "max": 0.078642,
+ "recall-0.025": 0.767956,
+ "recall-0.05": 0.966851,
+ "recall-0.1": 1.0,
"recall-0.15": 1.0,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
@@ -7063,14 +7063,14 @@ Results of the model in various experiments on different datasets. \
},
"ankle_right": {
"count": 362,
- "mean": 0.022326,
- "median": 0.018382,
- "std": 0.027706,
- "sem": 0.001458,
- "min": 0.001387,
- "max": 0.477011,
- "recall-0.025": 0.740331,
- "recall-0.05": 0.950276,
+ "mean": 0.018776,
+ "median": 0.014697,
+ "std": 0.025258,
+ "sem": 0.001329,
+ "min": 0.001777,
+ "max": 0.425641,
+ "recall-0.025": 0.850829,
+ "recall-0.05": 0.961326,
"recall-0.1": 0.994475,
"recall-0.15": 0.997238,
"recall-0.25": 0.997238,
@@ -7079,17 +7079,17 @@ Results of the model in various experiments on different datasets. \
},
"joint_recalls": {
"num_labels": 4706,
- "recall-0.025": 0.58606,
- "recall-0.05": 0.93136,
- "recall-0.1": 0.9932,
- "recall-0.15": 0.99809,
+ "recall-0.025": 0.64003,
+ "recall-0.05": 0.94369,
+ "recall-0.1": 0.99511,
+ "recall-0.15": 0.99873,
"recall-0.25": 0.99894,
"recall-0.5": 1.0
}
}
{
"total_parts": 5068,
- "correct_parts": 5057,
- "pcp": 0.99783
+ "correct_parts": 5064,
+ "pcp": 0.999211
}
```
diff --git a/ros/README.md b/ros/README.md
new file mode 100644
index 0000000..31ffb69
--- /dev/null
+++ b/ros/README.md
@@ -0,0 +1,45 @@
+# ROS-Wrapper
+
+Run pose estimator with ros topics as inputs and publish detected poses.
+
+
+
+- Build container:
+ ```bash
+ docker build --progress=plain -t rapidposetriangulation_ros -f ros/dockerfile .
+ ```
+
+- Update or remove the `ROS_DOMAIN_ID` in `docker-compose.yml` to fit your environment
+
+- Run and test:
+ ```bash
+ xhost +; docker compose -f ros/docker-compose.yml up
+
+ docker exec -it ros-test_node-1 bash
+ export ROS_DOMAIN_ID=18
+ ```
+
+### Debugging
+
+```bash
+cd /RapidPoseTriangulation/ros/rpt2D_wrapper_cpp/tests/
+
+g++ -std=c++17 -O3 -march=native -Wall -DCOMPILE_EXAMPLE_MAIN \
+ $(pkg-config --cflags opencv4) \
+ -I /onnxruntime/include \
+ -I /onnxruntime/include/onnxruntime/core/session \
+ -I /onnxruntime/include/onnxruntime/core/providers/tensorrt \
+ -L /onnxruntime/build/Linux/Release \
+ my_app.cpp \
+ -o my_app \
+ -Wl,--start-group \
+ -lonnxruntime_providers_tensorrt \
+ -lonnxruntime_providers_shared \
+ -lonnxruntime_providers_cuda \
+ -lonnxruntime \
+ -Wl,--end-group \
+ $(pkg-config --libs opencv4) \
+ -Wl,-rpath,/onnxruntime/build/Linux/Release
+
+./my_app
+```
diff --git a/ros/docker-compose.yml b/ros/docker-compose.yml
new file mode 100644
index 0000000..1953e82
--- /dev/null
+++ b/ros/docker-compose.yml
@@ -0,0 +1,71 @@
+version: "2.3"
+# runtime: nvidia needs version 2 else change standard runtime at host pc
+
+services:
+
+ test_node:
+ image: rapidposetriangulation_ros
+ network_mode: "host"
+ ipc: "host"
+ runtime: nvidia
+ privileged: true
+ volumes:
+ - ../:/RapidPoseTriangulation/
+ - ../skelda/:/skelda/
+ - /tmp/.X11-unix:/tmp/.X11-unix
+ - /dev/shm:/dev/shm
+ environment:
+ - DISPLAY
+ - QT_X11_NO_MITSHM=1
+ - "PYTHONUNBUFFERED=1"
+ command: /bin/bash -i -c 'sleep infinity'
+
+ estimator:
+ image: rapidposetriangulation_ros
+ network_mode: "host"
+ ipc: "host"
+ runtime: nvidia
+ privileged: true
+ volumes:
+ - ../:/RapidPoseTriangulation/
+ - ../skelda/:/skelda/
+ - /tmp/.X11-unix:/tmp/.X11-unix
+ - /dev/shm:/dev/shm
+ environment:
+ - DISPLAY
+ - QT_X11_NO_MITSHM=1
+ - "PYTHONUNBUFFERED=1"
+ # command: /bin/bash -i -c 'export ROS_DOMAIN_ID=18 && ros2 run rpt2D_wrapper_py rpt2D_wrapper'
+ command: /bin/bash -i -c 'export ROS_DOMAIN_ID=18 && ros2 run rpt2D_wrapper_cpp rpt2D_wrapper'
+
+ pose_visualizer:
+ image: rapidposetriangulation_ros
+ network_mode: "host"
+ ipc: "host"
+ runtime: nvidia
+ privileged: true
+ volumes:
+ - ../:/RapidPoseTriangulation/
+ - ../skelda/:/skelda/
+ - /tmp/.X11-unix:/tmp/.X11-unix
+ - /dev/shm:/dev/shm
+ environment:
+ - DISPLAY
+ - QT_X11_NO_MITSHM=1
+ - "PYTHONUNBUFFERED=1"
+ command: /bin/bash -i -c 'sleep 2 && export ROS_DOMAIN_ID=18 && ros2 run pose2D_visualizer pose2D_visualizer'
+
+ pose_viewer:
+ image: rapidposetriangulation_ros
+ network_mode: "host"
+ ipc: "host"
+ runtime: nvidia
+ privileged: true
+ volumes:
+ - /tmp/.X11-unix:/tmp/.X11-unix
+ - /dev/shm:/dev/shm
+ environment:
+ - DISPLAY
+ - QT_X11_NO_MITSHM=1
+ - "PYTHONUNBUFFERED=1"
+ command: /bin/bash -i -c 'sleep 2 && export ROS_DOMAIN_ID=18 && ros2 run image_view image_view --ros-args --remap image:=/camera01/img_with_pose -p autosize:=True -p window_name:=MyImage'
diff --git a/ros/dockerfile b/ros/dockerfile
new file mode 100644
index 0000000..f5367b3
--- /dev/null
+++ b/ros/dockerfile
@@ -0,0 +1,82 @@
+FROM rapidposetriangulation
+WORKDIR /
+
+# Install ONNX runtime
+# See: https://github.com/microsoft/onnxruntime/blob/main/dockerfiles/Dockerfile.tensorrt
+RUN pip3 uninstall -y onnxruntime-gpu
+RUN git clone --recursive --depth=1 --branch=v1.20.1 https://github.com/Microsoft/onnxruntime.git
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/cmake-3.30.1-linux-x86_64/bin:${PATH}
+ARG CMAKE_CUDA_ARCHITECTURES=75;80;90
+ENV TRT_VERSION=10.5.0.18
+RUN /bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh
+RUN /bin/sh onnxruntime/dockerfiles/scripts/checkout_submodules.sh ${trt_version}
+RUN ls
+RUN cd onnxruntime && \
+ /bin/sh build.sh --allow_running_as_root --parallel --build_shared_lib \
+ --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt \
+ --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests \
+ --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
+RUN cd onnxruntime && pip install build/Linux/Release/dist/*.whl
+
+# Install ROS2
+# https://docs.ros.org/en/humble/Installation/Ubuntu-Install-Debians.html
+RUN apt-get update && apt-get install -y --no-install-recommends locales
+RUN locale-gen en_US en_US.UTF-8 && update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8
+RUN apt-get update && apt-get install -y --no-install-recommends software-properties-common
+RUN add-apt-repository universe
+RUN apt-get update && apt-get install -y --no-install-recommends curl
+RUN curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg
+RUN echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" > /etc/apt/sources.list.d/ros2.list
+RUN apt-get update && apt-get install -y --no-install-recommends ros-humble-ros-base python3-argcomplete
+RUN apt-get update && apt-get install -y --no-install-recommends ros-dev-tools
+RUN echo "source /opt/ros/humble/setup.bash" >> ~/.bashrc
+
+# Create ROS2 workspace for basic packages
+RUN mkdir -p /project/base/src/
+RUN cd /project/base/; colcon build
+RUN echo "source /project/base/install/setup.bash" >> ~/.bashrc
+
+# Install opencv and cv_bridge
+RUN apt-get update && apt-get install -y --no-install-recommends libboost-dev
+RUN apt-get update && apt-get install -y --no-install-recommends libboost-python-dev
+RUN apt-get update && apt-get install -y --no-install-recommends libopencv-dev
+RUN cd /project/base/src/; git clone --branch humble --depth=1 https://github.com/ros-perception/vision_opencv.git
+RUN /bin/bash -i -c 'cd /project/base/; colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release'
+
+# Install ROS2 image viewer
+RUN cd /project/base/src/; git clone --branch=humble --depth=1 https://github.com/ros-perception/image_pipeline.git
+RUN cd /project/base/src/; git clone --branch=humble --depth=1 https://github.com/ros-perception/image_common.git
+RUN /bin/bash -i -c 'cd /project/base/; colcon build --symlink-install --packages-select camera_calibration_parsers image_transport image_view --cmake-args -DCMAKE_BUILD_TYPE=Release'
+
+# Fix module not found error when displaying images
+RUN apt-get update && apt-get install -y --no-install-recommends libcanberra-gtk-module libcanberra-gtk3-module
+
+# Create ROS2 workspace for project packages
+RUN mkdir -p /project/dev_ws/src/
+RUN cd /project/dev_ws/; colcon build
+RUN echo "source /project/dev_ws/install/setup.bash" >> ~/.bashrc
+
+# Fix ros package building error
+RUN pip3 install --no-cache-dir "setuptools<=58.2.0"
+
+# Copy modules
+COPY ./ros/pose2D_visualizer /RapidPoseTriangulation/ros/pose2D_visualizer/
+COPY ./ros/rpt2D_wrapper_py /RapidPoseTriangulation/ros/rpt2D_wrapper_py/
+COPY ./ros/rpt2D_wrapper_cpp /RapidPoseTriangulation/ros/rpt2D_wrapper_cpp/
+
+# Link and build as ros package
+RUN ln -s /RapidPoseTriangulation/ros/pose2D_visualizer/ /project/dev_ws/src/pose2D_visualizer
+RUN ln -s /RapidPoseTriangulation/ros/rpt2D_wrapper_py/ /project/dev_ws/src/rpt2D_wrapper_py
+RUN ln -s /RapidPoseTriangulation/ros/rpt2D_wrapper_cpp/ /project/dev_ws/src/rpt2D_wrapper_cpp
+RUN /bin/bash -i -c 'cd /project/dev_ws/; colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release'
+
+# Update ros packages -> autocompletion and check
+RUN /bin/bash -i -c 'ros2 pkg list'
+
+# Clear cache to save space, only has an effect if image is squashed
+RUN apt-get autoremove -y \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /RapidPoseTriangulation/
+CMD ["/bin/bash"]
diff --git a/ros/pose2D_visualizer/package.xml b/ros/pose2D_visualizer/package.xml
new file mode 100644
index 0000000..c4a0bb2
--- /dev/null
+++ b/ros/pose2D_visualizer/package.xml
@@ -0,0 +1,18 @@
+
+
+
+ pose2D_visualizer
+ 0.0.0
+ TODO: Package description
+ root
+ TODO: License declaration
+
+ ament_copyright
+ ament_flake8
+ ament_pep257
+ python3-pytest
+
+
+ ament_python
+
+
diff --git a/ros/pose2D_visualizer/pose2D_visualizer/__init__.py b/ros/pose2D_visualizer/pose2D_visualizer/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/ros/pose2D_visualizer/pose2D_visualizer/pose2D_visualizer.py b/ros/pose2D_visualizer/pose2D_visualizer/pose2D_visualizer.py
new file mode 100644
index 0000000..1b865db
--- /dev/null
+++ b/ros/pose2D_visualizer/pose2D_visualizer/pose2D_visualizer.py
@@ -0,0 +1,152 @@
+import json
+import os
+import sys
+import threading
+import time
+
+import cv2
+from matplotlib import pyplot as plt
+import numpy as np
+import rclpy
+from cv_bridge import CvBridge
+from rclpy.qos import QoSHistoryPolicy, QoSProfile, QoSReliabilityPolicy
+from sensor_msgs.msg import Image
+from std_msgs.msg import String
+
+filepath = os.path.dirname(os.path.realpath(__file__)) + "/"
+sys.path.append(filepath + "../../../scripts/")
+import test_triangulate
+
+from skelda import utils_view
+
+# ==================================================================================================
+
+bridge = CvBridge()
+node = None
+publisher_img = None
+
+cam_id = "camera01"
+img_input_topic = "/" + cam_id + "/pylon_ros2_camera_node/image_raw"
+pose_input_topic = "/poses/" + cam_id
+img_output_topic = "/" + cam_id + "/img_with_pose"
+
+last_input_image = None
+lock = threading.Lock()
+
+# ==================================================================================================
+
+
+def callback_images(image_data):
+ global last_input_image, lock
+
+ # Convert into cv images from image string
+ if image_data.encoding == "bayer_rggb8":
+ bayer_image = bridge.imgmsg_to_cv2(image_data, "bayer_rggb8")
+ color_image = test_triangulate.bayer2rgb(bayer_image)
+ elif image_data.encoding == "mono8":
+ gray_image = bridge.imgmsg_to_cv2(image_data, "mono8")
+ color_image = cv2.cvtColor(gray_image, cv2.COLOR_GRAY2RGB)
+ elif image_data.encoding == "rgb8":
+ color_image = bridge.imgmsg_to_cv2(image_data, "rgb8")
+ else:
+ raise ValueError("Unknown image encoding:", image_data.encoding)
+
+ time_stamp = image_data.header.stamp.sec + image_data.header.stamp.nanosec / 1.0e9
+
+ with lock:
+ last_input_image = (color_image, time_stamp)
+
+
+# ==================================================================================================
+
+
+def callback_poses(pose_data):
+ global last_input_image, lock
+
+ ptime = time.time()
+ if last_input_image is None:
+ return
+
+ # Convert pose data from json string
+ poses = json.loads(pose_data.data)
+
+ # Collect inputs
+ images_2d = []
+ timestamps = []
+ with lock:
+ img = np.copy(last_input_image[0])
+ ts = last_input_image[1]
+ images_2d.append(img)
+ timestamps.append(ts)
+
+ # Visualize 2D poses
+ bodies2D = poses["bodies2D"]
+ colors = plt.cm.hsv(np.linspace(0, 1, len(bodies2D), endpoint=False)).tolist()
+ colors = [[int(c[0] * 255), int(c[1] * 255), int(c[2] * 255)] for c in colors]
+ for i, body in enumerate(bodies2D):
+ color = list(reversed(colors[i]))
+ img = utils_view.draw_body_in_image(img, body, poses["joints"], color)
+
+ # Publish image with poses
+ publish(img)
+
+ msg = "Visualization time: {:.3f}s"
+ print(msg.format(time.time() - ptime))
+
+
+# ==================================================================================================
+
+
+def publish(img):
+ # Publish image data
+ msg = bridge.cv2_to_imgmsg(img, "rgb8")
+ publisher_img.publish(msg)
+
+
+# ==================================================================================================
+
+
+def main():
+ global node, publisher_img
+
+ # Start node
+ rclpy.init(args=sys.argv)
+ node = rclpy.create_node("pose2D_visualizer")
+
+ # Quality of service settings
+ qos_profile = QoSProfile(
+ reliability=QoSReliabilityPolicy.RELIABLE,
+ history=QoSHistoryPolicy.KEEP_LAST,
+ depth=1,
+ )
+
+ # Create subscribers
+ _ = node.create_subscription(
+ Image,
+ img_input_topic,
+ callback_images,
+ qos_profile,
+ )
+ _ = node.create_subscription(
+ String,
+ pose_input_topic,
+ callback_poses,
+ qos_profile,
+ )
+
+ # Create publishers
+ publisher_img = node.create_publisher(Image, img_output_topic, qos_profile)
+
+ node.get_logger().info("Finished initialization of pose visualizer")
+
+ # Run ros update thread
+ rclpy.spin(node)
+
+ node.destroy_node()
+ rclpy.shutdown()
+
+
+# ==================================================================================================
+
+if __name__ == "__main__":
+ main()
diff --git a/ros/pose2D_visualizer/resource/pose2D_visualizer b/ros/pose2D_visualizer/resource/pose2D_visualizer
new file mode 100644
index 0000000..e69de29
diff --git a/ros/pose2D_visualizer/setup.cfg b/ros/pose2D_visualizer/setup.cfg
new file mode 100644
index 0000000..924f0ef
--- /dev/null
+++ b/ros/pose2D_visualizer/setup.cfg
@@ -0,0 +1,4 @@
+[develop]
+script_dir=$base/lib/pose2D_visualizer
+[install]
+install_scripts=$base/lib/pose2D_visualizer
diff --git a/ros/pose2D_visualizer/setup.py b/ros/pose2D_visualizer/setup.py
new file mode 100644
index 0000000..87ca089
--- /dev/null
+++ b/ros/pose2D_visualizer/setup.py
@@ -0,0 +1,23 @@
+from setuptools import setup
+
+package_name = "pose2D_visualizer"
+
+setup(
+ name=package_name,
+ version="0.0.0",
+ packages=[package_name],
+ data_files=[
+ ("share/ament_index/resource_index/packages", ["resource/" + package_name]),
+ ("share/" + package_name, ["package.xml"]),
+ ],
+ install_requires=["setuptools"],
+ zip_safe=True,
+ maintainer="root",
+ maintainer_email="root@todo.todo",
+ description="TODO: Package description",
+ license="TODO: License declaration",
+ tests_require=["pytest"],
+ entry_points={
+ "console_scripts": ["pose2D_visualizer = pose2D_visualizer.pose2D_visualizer:main"],
+ },
+)
diff --git a/ros/pose2D_visualizer/test/test_copyright.py b/ros/pose2D_visualizer/test/test_copyright.py
new file mode 100644
index 0000000..8f18fa4
--- /dev/null
+++ b/ros/pose2D_visualizer/test/test_copyright.py
@@ -0,0 +1,27 @@
+# Copyright 2015 Open Source Robotics Foundation, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from ament_copyright.main import main
+
+
+# Remove the `skip` decorator once the source file(s) have a copyright header
+@pytest.mark.skip(
+ reason="No copyright header has been placed in the generated source file."
+)
+@pytest.mark.copyright
+@pytest.mark.linter
+def test_copyright():
+ rc = main(argv=[".", "test"])
+ assert rc == 0, "Found errors"
diff --git a/ros/pose2D_visualizer/test/test_flake8.py b/ros/pose2D_visualizer/test/test_flake8.py
new file mode 100644
index 0000000..f494570
--- /dev/null
+++ b/ros/pose2D_visualizer/test/test_flake8.py
@@ -0,0 +1,25 @@
+# Copyright 2017 Open Source Robotics Foundation, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from ament_flake8.main import main_with_errors
+
+
+@pytest.mark.flake8
+@pytest.mark.linter
+def test_flake8():
+ rc, errors = main_with_errors(argv=[])
+ assert rc == 0, "Found %d code style errors / warnings:\n" % len(
+ errors
+ ) + "\n".join(errors)
diff --git a/ros/pose2D_visualizer/test/test_pep257.py b/ros/pose2D_visualizer/test/test_pep257.py
new file mode 100644
index 0000000..4eddb46
--- /dev/null
+++ b/ros/pose2D_visualizer/test/test_pep257.py
@@ -0,0 +1,23 @@
+# Copyright 2015 Open Source Robotics Foundation, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+from ament_pep257.main import main
+
+
+@pytest.mark.linter
+@pytest.mark.pep257
+def test_pep257():
+ rc = main(argv=[".", "test"])
+ assert rc == 0, "Found code style errors / warnings"
diff --git a/ros/rpt2D_wrapper_cpp/CMakeLists.txt b/ros/rpt2D_wrapper_cpp/CMakeLists.txt
new file mode 100644
index 0000000..aa93999
--- /dev/null
+++ b/ros/rpt2D_wrapper_cpp/CMakeLists.txt
@@ -0,0 +1,65 @@
+cmake_minimum_required(VERSION 3.5)
+project(rpt2D_wrapper_cpp)
+
+# Default to C99
+if(NOT CMAKE_C_STANDARD)
+ set(CMAKE_C_STANDARD 99)
+endif()
+
+# Default to C++17
+if(NOT CMAKE_CXX_STANDARD)
+ set(CMAKE_CXX_STANDARD 17)
+endif()
+
+if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
+ add_compile_options(-Wall -Wextra -Wpedantic)
+endif()
+
+# find dependencies
+find_package(ament_cmake REQUIRED)
+find_package(rclcpp REQUIRED)
+find_package(std_msgs REQUIRED)
+find_package(sensor_msgs REQUIRED)
+find_package(cv_bridge REQUIRED)
+find_package(OpenCV REQUIRED)
+
+### 3) ONNX Runtime
+include_directories(/onnxruntime/include
+ /onnxruntime/include/onnxruntime/core/session
+ /onnxruntime/include/onnxruntime/core/providers/tensorrt)
+link_directories(/onnxruntime/build/Linux/Release)
+
+add_executable(rpt2D_wrapper src/rpt2D_wrapper.cpp)
+ament_target_dependencies(rpt2D_wrapper rclcpp std_msgs sensor_msgs cv_bridge)
+target_include_directories(rpt2D_wrapper PUBLIC
+ $
+ $)
+
+target_link_libraries(rpt2D_wrapper
+ ${OpenCV_LIBS}
+ onnxruntime_providers_tensorrt
+ onnxruntime_providers_shared
+ onnxruntime_providers_cuda
+ onnxruntime
+)
+
+set_target_properties(rpt2D_wrapper PROPERTIES
+ BUILD_WITH_INSTALL_RPATH TRUE
+ INSTALL_RPATH "/onnxruntime/build/Linux/Release"
+)
+
+install(TARGETS rpt2D_wrapper
+ DESTINATION lib/${PROJECT_NAME})
+
+if(BUILD_TESTING)
+ find_package(ament_lint_auto REQUIRED)
+ # the following line skips the linter which checks for copyrights
+ # uncomment the line when a copyright and license is not present in all source files
+ #set(ament_cmake_copyright_FOUND TRUE)
+ # the following line skips cpplint (only works in a git repo)
+ # uncomment the line when this package is not in a git repo
+ #set(ament_cmake_cpplint_FOUND TRUE)
+ ament_lint_auto_find_test_dependencies()
+endif()
+
+ament_package()
diff --git a/ros/rpt2D_wrapper_cpp/include/nlohmann/json.hpp b/ros/rpt2D_wrapper_cpp/include/nlohmann/json.hpp
new file mode 100644
index 0000000..ddd3131
--- /dev/null
+++ b/ros/rpt2D_wrapper_cpp/include/nlohmann/json.hpp
@@ -0,0 +1,24674 @@
+// __ _____ _____ _____
+// __| | __| | | | JSON for Modern C++
+// | | |__ | | | | | | version 3.11.2
+// |_____|_____|_____|_|___| https://github.com/nlohmann/json
+//
+// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann
+// SPDX-License-Identifier: MIT
+
+/****************************************************************************\
+ * Note on documentation: The source files contain links to the online *
+ * documentation of the public API at https://json.nlohmann.me. This URL *
+ * contains the most recent documentation and should also be applicable to *
+ * previous versions; documentation for deprecated functions is not *
+ * removed, but marked deprecated. See "Generate documentation" section in *
+ * file docs/README.md. *
+\****************************************************************************/
+
+#ifndef INCLUDE_NLOHMANN_JSON_HPP_
+#define INCLUDE_NLOHMANN_JSON_HPP_
+
+#include // all_of, find, for_each
+#include // nullptr_t, ptrdiff_t, size_t
+#include // hash, less
+#include // initializer_list
+#ifndef JSON_NO_IO
+ #include // istream, ostream
+#endif // JSON_NO_IO
+#include // random_access_iterator_tag
+#include // unique_ptr
+#include // string, stoi, to_string
+#include // declval, forward, move, pair, swap
+#include // vector
+
+// #include
+// __ _____ _____ _____
+// __| | __| | | | JSON for Modern C++
+// | | |__ | | | | | | version 3.11.2
+// |_____|_____|_____|_|___| https://github.com/nlohmann/json
+//
+// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann
+// SPDX-License-Identifier: MIT
+
+
+
+#include
+
+// #include
+// __ _____ _____ _____
+// __| | __| | | | JSON for Modern C++
+// | | |__ | | | | | | version 3.11.2
+// |_____|_____|_____|_|___| https://github.com/nlohmann/json
+//
+// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann
+// SPDX-License-Identifier: MIT
+
+
+
+// This file contains all macro definitions affecting or depending on the ABI
+
+#ifndef JSON_SKIP_LIBRARY_VERSION_CHECK
+ #if defined(NLOHMANN_JSON_VERSION_MAJOR) && defined(NLOHMANN_JSON_VERSION_MINOR) && defined(NLOHMANN_JSON_VERSION_PATCH)
+ #if NLOHMANN_JSON_VERSION_MAJOR != 3 || NLOHMANN_JSON_VERSION_MINOR != 11 || NLOHMANN_JSON_VERSION_PATCH != 2
+ #warning "Already included a different version of the library!"
+ #endif
+ #endif
+#endif
+
+#define NLOHMANN_JSON_VERSION_MAJOR 3 // NOLINT(modernize-macro-to-enum)
+#define NLOHMANN_JSON_VERSION_MINOR 11 // NOLINT(modernize-macro-to-enum)
+#define NLOHMANN_JSON_VERSION_PATCH 2 // NOLINT(modernize-macro-to-enum)
+
+#ifndef JSON_DIAGNOSTICS
+ #define JSON_DIAGNOSTICS 0
+#endif
+
+#ifndef JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON
+ #define JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON 0
+#endif
+
+#if JSON_DIAGNOSTICS
+ #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS _diag
+#else
+ #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS
+#endif
+
+#if JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON
+ #define NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON _ldvcmp
+#else
+ #define NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON
+#endif
+
+#ifndef NLOHMANN_JSON_NAMESPACE_NO_VERSION
+ #define NLOHMANN_JSON_NAMESPACE_NO_VERSION 0
+#endif
+
+// Construct the namespace ABI tags component
+#define NLOHMANN_JSON_ABI_TAGS_CONCAT_EX(a, b) json_abi ## a ## b
+#define NLOHMANN_JSON_ABI_TAGS_CONCAT(a, b) \
+ NLOHMANN_JSON_ABI_TAGS_CONCAT_EX(a, b)
+
+#define NLOHMANN_JSON_ABI_TAGS \
+ NLOHMANN_JSON_ABI_TAGS_CONCAT( \
+ NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS, \
+ NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON)
+
+// Construct the namespace version component
+#define NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT_EX(major, minor, patch) \
+ _v ## major ## _ ## minor ## _ ## patch
+#define NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT(major, minor, patch) \
+ NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT_EX(major, minor, patch)
+
+#if NLOHMANN_JSON_NAMESPACE_NO_VERSION
+#define NLOHMANN_JSON_NAMESPACE_VERSION
+#else
+#define NLOHMANN_JSON_NAMESPACE_VERSION \
+ NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT(NLOHMANN_JSON_VERSION_MAJOR, \
+ NLOHMANN_JSON_VERSION_MINOR, \
+ NLOHMANN_JSON_VERSION_PATCH)
+#endif
+
+// Combine namespace components
+#define NLOHMANN_JSON_NAMESPACE_CONCAT_EX(a, b) a ## b
+#define NLOHMANN_JSON_NAMESPACE_CONCAT(a, b) \
+ NLOHMANN_JSON_NAMESPACE_CONCAT_EX(a, b)
+
+#ifndef NLOHMANN_JSON_NAMESPACE
+#define NLOHMANN_JSON_NAMESPACE \
+ nlohmann::NLOHMANN_JSON_NAMESPACE_CONCAT( \
+ NLOHMANN_JSON_ABI_TAGS, \
+ NLOHMANN_JSON_NAMESPACE_VERSION)
+#endif
+
+#ifndef NLOHMANN_JSON_NAMESPACE_BEGIN
+#define NLOHMANN_JSON_NAMESPACE_BEGIN \
+ namespace nlohmann \
+ { \
+ inline namespace NLOHMANN_JSON_NAMESPACE_CONCAT( \
+ NLOHMANN_JSON_ABI_TAGS, \
+ NLOHMANN_JSON_NAMESPACE_VERSION) \
+ {
+#endif
+
+#ifndef NLOHMANN_JSON_NAMESPACE_END
+#define NLOHMANN_JSON_NAMESPACE_END \
+ } /* namespace (inline namespace) NOLINT(readability/namespace) */ \
+ } // namespace nlohmann
+#endif
+
+// #include
+// __ _____ _____ _____
+// __| | __| | | | JSON for Modern C++
+// | | |__ | | | | | | version 3.11.2
+// |_____|_____|_____|_|___| https://github.com/nlohmann/json
+//
+// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann
+// SPDX-License-Identifier: MIT
+
+
+
+#include // transform
+#include // array
+#include // forward_list
+#include // inserter, front_inserter, end
+#include