catvton

datasets/DressCode/lower_body/test_pairs_paired.txt

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datasets/DressCode/lower_body/test_pairs_unpaired.txt

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datasets/DressCode/readme.txt

+###########################
+    Dress Code Dataset
+###########################
+
+Dress Code is an image-based virtual try-on dataset with multi-category garments and high-resolution images.
+
+The main folder contains:
+1. One folder for each category (e.g. dresses, lower_body, upper_body).
+2. Annotation txt files:
+   - train_pairs.txt contains paired model-garment annotation couples for training on the entire dataset		(model | garment)
+   - test_pairs_paired.txt contains model-garment pairs of the paired test set          						(model | garment)
+   - test_pairs_unpaired.txt contains model-garment pairs of the unpaired test set      						(model | garment)
+   - multigarment_test_triplets.txt contains the image triples of the multi-garment test set    				(model | garment upper | garment lower)
+
+In each category folder, there are five subfolders:
+1. images:    	contains both model and garment images
+2. keypoints: 	contains json keypoints [x, y, score, keypoint_number].
+3. skeletons:  	contains jpg skeleton images
+4. label_maps: 	contains 1 channel label map of model images
+5. dense:     	contains .npz (uv) and .png (labels) files extracted using DensePose
+
+Each category folder also contains the train/test files to train and test the model only on a specific categroy.
+
+
+###########################
+Keypoints
+###########################
+
+Each image has 18 keypoints. Due to the fact that keypoint are automatically generated, some keypoint might be missing. In that case a record [-1, -1, 0.0, -1] represent a keypoint not found.
+Note that the keypoints have been computed on 512x384 (HxW) images.
+
+keypoints_map={
+    0.0: "nose",
+    1.0: "neck",
+    2.0: "right shoulder",
+    3.0: "right elbow",
+    4.0: "right wrist",
+    5.0: "left shoulder",
+    6.0: "left elbow",
+    7.0: "left wrist",
+    8.0: "right hip",
+    9.0: "right knee",
+    10.0: "right ankle",
+    11.0: "left hip",
+    12.0: "left knee",
+    13.0: "left ankle",
+    14.0: "right eye",
+    15.0: "left eye",
+    16.0: "right ear",
+    17.0: "left ear"
+}
+
+
+###########################
+Label Maps
+###########################
+
+Each label map is composed of 18 classes according to the following dict
+
+label_map={
+    "background": 0,
+    "hat": 1,
+    "hair": 2,
+    "sunglasses": 3,
+    "upper_clothes": 4,
+    "skirt": 5,
+    "pants": 6,
+    "dress": 7,
+    "belt": 8,
+    "left_shoe": 9,
+    "right_shoe": 10,
+    "head": 11,
+    "left_leg": 12,
+    "right_leg": 13,
+    "left_arm": 14,
+    "right_arm": 15,
+    "bag": 16,
+    "scarf": 17,
+}
+
+
+############################
+Additional Info
+############################
+
+| NAME         | Symbol | Extension |
+|--------------|--------|-----------| 
+| model        |   _0   |    .jpg   |
+| garment      |   _1   |    .jpg   |
+| keypoints    |   _2   |    .json  |
+| skeleton     |   _3   |    .jpg   |
+| label map    |   _4   |    .png   |
+| dense uv     |   _5   |    .npz   |
+| dense labels |   _5   |    .jpg   |
+
+
+############################
+Contacts
+############################
+
+If you have any general doubt about our dataset, drop us an e-mail at davide.morelli@unimore.it or marcella.cornia@unimore.it.

datasets/DressCode/test_pairs_paired.txt

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