Add at new repo again

vton-api/preprocess/humanparsing/mhp_extension/detectron2/projects/TridentNet/configs/Base-TridentNet-Fast-C4.yaml

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+MODEL:
+  META_ARCHITECTURE: "GeneralizedRCNN"
+  BACKBONE:
+    NAME: "build_trident_resnet_backbone"
+  ROI_HEADS:
+    NAME: "TridentRes5ROIHeads"
+    POSITIVE_FRACTION: 0.5
+    BATCH_SIZE_PER_IMAGE: 128
+    PROPOSAL_APPEND_GT: False
+  PROPOSAL_GENERATOR:
+    NAME: "TridentRPN"
+  RPN:
+    POST_NMS_TOPK_TRAIN: 500
+  TRIDENT:
+    NUM_BRANCH: 3
+    BRANCH_DILATIONS: [1, 2, 3]
+    TEST_BRANCH_IDX: 1
+    TRIDENT_STAGE: "res4"
+DATASETS:
+  TRAIN: ("coco_2017_train",)
+  TEST: ("coco_2017_val",)
+SOLVER:
+  IMS_PER_BATCH: 16
+  BASE_LR: 0.02
+  STEPS: (60000, 80000)
+  MAX_ITER: 90000
+INPUT:
+  MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
+VERSION: 2

vton-api/preprocess/humanparsing/mhp_extension/detectron2/projects/TridentNet/configs/tridentnet_fast_R_101_C4_3x.yaml

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+_BASE_: "Base-TridentNet-Fast-C4.yaml"
+MODEL:
+  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl"
+  MASK_ON: False
+  RESNETS:
+    DEPTH: 101
+SOLVER:
+  STEPS: (210000, 250000)
+  MAX_ITER: 270000

vton-api/preprocess/humanparsing/mhp_extension/detectron2/projects/TridentNet/configs/tridentnet_fast_R_50_C4_1x.yaml

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+_BASE_: "Base-TridentNet-Fast-C4.yaml"
+MODEL:
+  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
+  MASK_ON: False
+  RESNETS:
+    DEPTH: 50

vton-api/preprocess/humanparsing/mhp_extension/detectron2/projects/TridentNet/configs/tridentnet_fast_R_50_C4_3x.yaml

@@ -0,0 +1,9 @@
+_BASE_: "Base-TridentNet-Fast-C4.yaml"
+MODEL:
+  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
+  MASK_ON: False
+  RESNETS:
+    DEPTH: 50
+SOLVER:
+  STEPS: (210000, 250000)
+  MAX_ITER: 270000