Updated easypose scripts.
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@ -29,10 +29,14 @@ class BaseModel(ABC):
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self.input_shape = self.session.get_inputs()[0].shape
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input_type = self.session.get_inputs()[0].type
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if input_type == 'tensor(float16)':
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self.input_type = np.float16
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else:
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if input_type == 'tensor(float32)':
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self.input_type = np.float32
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elif input_type == 'tensor(float16)':
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self.input_type = np.float16
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elif input_type == 'tensor(uint8)':
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self.input_type = np.uint8
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else:
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raise ValueError('Unknown input type: ', input_type)
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if warmup > 0:
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self.warmup(warmup)
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@ -20,12 +20,12 @@ class RTMDet(BaseModel):
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self.scale = 0
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def preprocess(self, image: np.ndarray):
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th, tw = self.input_shape[2:]
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th, tw = self.input_shape[1:3]
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image, self.dx, self.dy, self.scale = letterbox(
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image, (tw, th), fill_value=114
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)
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tensor = np.asarray(image).astype(self.input_type, copy=False)[..., ::-1]
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tensor = np.expand_dims(tensor, axis=0).transpose((0, 3, 1, 2))
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tensor = np.expand_dims(tensor, axis=0)
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return tensor
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def postprocess(self, tensor: List[np.ndarray]):
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@ -39,13 +39,10 @@ class Heatmap(BaseModel):
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class SimCC(BaseModel):
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def __init__(self, model_path: str, device: str = 'CUDA', warmup: int = 30):
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super(SimCC, self).__init__(model_path, device, warmup)
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self.dx = 0
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self.dy = 0
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self.scale = 0
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def preprocess(self, image: np.ndarray):
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tensor = np.asarray(image).astype(self.input_type, copy=False)
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tensor = np.expand_dims(tensor, axis=0).transpose((0, 3, 1, 2))
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tensor = np.expand_dims(tensor, axis=0)
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return tensor
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def postprocess(self, tensor: List[np.ndarray]):
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@ -14,13 +14,10 @@ filepath = os.path.dirname(os.path.realpath(__file__)) + "/"
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def load_model():
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print("Loading mmpose model ...")
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# model = ep.TopDown("rtmpose_m", "SimCC", "rtmdet_s")
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model = ep.TopDown(
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"/RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_384x288_with-norm.onnx",
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# "/RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_384x288_fp16_with-norm.onnx",
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"/RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_384x288_fp16_extra-steps.onnx",
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"SimCC",
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"/RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_320x320_with-norm.onnx",
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# "/RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_320x320_fp16_with-norm.onnx",
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"/RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_320x320_fp16_extra-steps.onnx",
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conf_threshold=0.3,
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iou_threshold=0.3,
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warmup=10,
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