added coco val data for finetuning infinity_coco

Author: yonigozlan

experiments/infinity_coco/hrnet/w48_384x288_adam_lr1e-3.yaml

@@ -26,7 +26,7 @@ MODEL:
   INIT_WEIGHTS: true
   NAME: pose_hrnet
   NUM_JOINTS: 58
-  PRETRAINED: "models/pytorch/imagenet/hrnet_w48-8ef0771d.pth"
+  PRETRAINED: "models/pytorch/pose_coco/pose_hrnet_w48_384x288.pth"
   TARGET_TYPE: gaussian
   IMAGE_SIZE:
     - 288
@@ -91,7 +91,7 @@ MODEL:
 LOSS:
   USE_TARGET_WEIGHT: true
 TRAIN:
-  BATCH_SIZE_PER_GPU: 10
+  BATCH_SIZE_PER_GPU: 2
   SHUFFLE: true
   BEGIN_EPOCH: 0
   END_EPOCH: 200
@@ -107,7 +107,7 @@ TRAIN:
   MOMENTUM: 0.9
   NESTEROV: false
 TEST:
-  BATCH_SIZE_PER_GPU: 10
+  BATCH_SIZE_PER_GPU: 5
   COCO_BBOX_FILE: "data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json"
   BBOX_THRE: 1.0
   IMAGE_THRE: 0.0