add gaitset & gaitpart for GREW

config/baseline/baseline_GREW.yaml

@@ -9,9 +9,9 @@ data_cfg:
 evaluator_cfg:
   enable_float16: true
   restore_ckpt_strict: true
-  restore_hint: 120000
+  restore_hint: 250000
   save_name: Baseline
-  eval_func: identification_GREW_submission # identification_real_scene
+  eval_func: identification_GREW_submission # identification_real_scene # identification_GREW_submission
   sampler:
     batch_shuffle: false
     batch_size: 64
@@ -38,12 +38,14 @@ model_cfg:
   backbone_cfg:
     in_channels: 1
     layers_cfg: # Layers configuration for automatically model construction
+      - BC-32
+      - BC-32
+      - M
       - BC-64
       - BC-64
       - M
       - BC-128
       - BC-128
-      - M
       - BC-256
       - BC-256
       # - M
@@ -74,8 +76,7 @@ optimizer_cfg:
 scheduler_cfg:
   gamma: 0.1
   milestones: # Learning Rate Reduction at each milestones
-    - 80000
+    - 150000
-    - 100000
   scheduler: MultiStepLR
 trainer_cfg:
   enable_float16: true # half_percesion float for memory reduction and speedup
@@ -83,14 +84,14 @@ trainer_cfg:
   log_iter: 100
   restore_ckpt_strict: true
   restore_hint: 0
-  save_iter: 5000
+  save_iter: 10000
   save_name: Baseline
   sync_BN: true
-  total_iter: 120000
+  total_iter: 250000
   sampler:
     batch_shuffle: true
     batch_size:
-      - 16 # TripletSampler, batch_size[0] indicates Number of Identity
+      - 32 # TripletSampler, batch_size[0] indicates Number of Identity
       - 4 #                 batch_size[1] indicates Samples sequqnce for each Identity
     frames_num_fixed: 30 # fixed frames number for training
     frames_num_max: 50 # max frames number for unfixed training

config/gaitpart/gaitpart_GREW.yaml

@@ -0,0 +1,83 @@
+data_cfg:
+  dataset_name: GREW
+  dataset_root: your_path
+  dataset_partition: ./datasets/GREW/GREW.json
+  num_workers: 4
+  remove_no_gallery: false # Remove probe if no gallery for it
+  test_dataset_name: GREW
+
+evaluator_cfg:
+  enable_float16: false
+  restore_ckpt_strict: true
+  restore_hint: 250000
+  save_name: GaitPart
+  eval_func: identification_GREW_submission # identification_real_scene # identification_GREW_submission
+  sampler:
+    batch_size: 4
+    sample_type: all_ordered
+    type: InferenceSampler
+  metric: euc # cos
+
+loss_cfg:
+  loss_term_weight: 1.0
+  margin: 0.2
+  type: TripletLoss
+  log_prefix: triplet
+
+model_cfg:
+  model: GaitPart
+  backbone_cfg:
+    in_channels: 1
+    layers_cfg:
+      - BC-32
+      - BC-32
+      - M
+      - BC-64
+      - BC-64
+      - M
+      - FC-128-3
+      - FC-128-3
+      - FC-256-3
+      - FC-256-3
+    type: Plain
+  SeparateFCs:
+    in_channels: 256
+    out_channels: 256
+    parts_num: 16
+  bin_num:
+    - 16
+
+optimizer_cfg:
+  lr: 0.0001
+  momentum: 0.9
+  solver: Adam
+  weight_decay: 0.0
+
+scheduler_cfg:
+  gamma: 0.1
+  milestones:
+    - 150000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  log_iter: 100
+  with_test: false
+  restore_ckpt_strict: true
+  restore_hint: 0
+  save_iter: 10000
+  save_name: GaitPart
+  sync_BN: false
+  total_iter: 250000
+  sampler:
+    batch_shuffle: false
+    batch_size:
+      - 32
+      - 4
+    frames_num_fixed: 30
+    frames_num_max: 50
+    frames_num_min: 25
+    frames_skip_num: 10
+    sample_type: fixed_ordered
+    type: TripletSampler

config/gaitset/gaitset_GREW.yaml

@@ -0,0 +1,77 @@
+data_cfg:
+  dataset_name: GREW
+  dataset_root: your_path
+  dataset_partition: ./datasets/GREW/GREW.json
+  num_workers: 4
+  remove_no_gallery: false # Remove probe if no gallery for it
+  test_dataset_name: GREW
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 250000
+  save_name: GaitSet
+  eval_func: identification_GREW_submission # identification_real_scene # identification_GREW_submission
+  sampler:
+    batch_size: 4
+    sample_type: all_ordered
+    type: InferenceSampler
+  metric: euc # cos
+
+loss_cfg:
+  loss_term_weight: 1.0
+  margin: 0.2
+  type: TripletLoss
+  log_prefix: triplet
+
+model_cfg:
+  model: GaitSet
+  in_channels:
+    - 1
+    - 64
+    - 128
+    - 256
+  SeparateFCs:
+    in_channels: 256
+    out_channels: 256
+    parts_num: 62
+  bin_num:
+    - 16
+    - 8
+    - 4
+    - 2
+    - 1
+
+optimizer_cfg:
+  lr: 0.0001
+  momentum: 0.9
+  solver: Adam
+  weight_decay: 0
+
+scheduler_cfg:
+  gamma: 0.1
+  milestones:
+    - 150000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: false
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  save_iter: 10000
+  save_name: GaitSet
+  sync_BN: false
+  total_iter: 250000
+  sampler:
+    batch_shuffle: false
+    batch_size:
+      - 32
+      - 4
+    frames_num_fixed: 30
+    frames_num_max: 50
+    frames_num_min: 25
+    sample_type: fixed_unordered
+    type: TripletSampler