Add hamer/model_config.yaml

hamer/model_config.yaml

@@ -0,0 +1,67 @@
+DATASETS:
+  CONFIG:
+    SCALE_FACTOR: 0.3
+    ROT_FACTOR: 30
+    TRANS_FACTOR: 0.02
+    COLOR_SCALE: 0.2
+    ROT_AUG_RATE: 0.6
+    TRANS_AUG_RATE: 0.5
+    DO_FLIP: false
+    FLIP_AUG_RATE: 0.0
+    EXTREME_CROP_AUG_RATE: 0.0
+    EXTREME_CROP_AUG_LEVEL: 1
+MANO:
+  DATA_DIR: _DATA/data/
+  MODEL_PATH: data/mano
+  GENDER: neutral
+  NUM_HAND_JOINTS: 15
+  MEAN_PARAMS: data/mano_mean_params.npz
+  CREATE_BODY_POSE: false
+EXTRA:
+  FOCAL_LENGTH: 5000
+  NUM_LOG_IMAGES: 4
+  NUM_LOG_SAMPLES_PER_IMAGE: 8
+  PELVIS_IND: 0
+GENERAL:
+  TOTAL_STEPS: 1000000
+  LOG_STEPS: 1000
+  VAL_STEPS: 1000
+  CHECKPOINT_STEPS: 10000
+  CHECKPOINT_SAVE_TOP_K: 1
+  NUM_WORKERS: 8
+  PREFETCH_FACTOR: 2
+TRAIN:
+  LR: 1.0e-5
+  WEIGHT_DECAY: 0.0001
+  BATCH_SIZE: 32
+  LOSS_REDUCTION: mean
+  NUM_TRAIN_SAMPLES: 2
+  NUM_TEST_SAMPLES: 64
+  POSE_2D_NOISE_RATIO: 0.01
+  SMPL_PARAM_NOISE_RATIO: 0.005
+MODEL:
+  IMAGE_SIZE: 256
+  IMAGE_MEAN: [0.485, 0.456, 0.406]
+  IMAGE_STD: [0.229, 0.224, 0.225]
+  BACKBONE:
+    TYPE: vit
+    PRETRAINED_WEIGHTS: hamer_training_data/vitpose_backbone.pth
+  MANO_HEAD:
+    TYPE: transformer_decoder
+    IN_CHANNELS: 2048
+    TRANSFORMER_DECODER:
+      depth: 6
+      heads: 8
+      mlp_dim: 1024
+      dim_head: 64
+      dropout: 0.0
+      emb_dropout: 0.0
+      norm: layer
+      context_dim: 1280
+LOSS_WEIGHTS:
+  KEYPOINTS_3D: 0.05
+  KEYPOINTS_2D: 0.01
+  GLOBAL_ORIENT: 0.001
+  HAND_POSE: 0.001
+  BETAS: 0.0005
+  ADVERSARIAL: 0.0005