Commit 3144257c authored by mashun1's avatar mashun1
Browse files

catvton

parents
Pipeline #1744 failed with stages
in 0 seconds
013563_0.jpg 013563_1.jpg
013564_0.jpg 013564_1.jpg
013565_0.jpg 013565_1.jpg
013566_0.jpg 013566_1.jpg
013567_0.jpg 013567_1.jpg
013568_0.jpg 013568_1.jpg
013569_0.jpg 013569_1.jpg
013570_0.jpg 013570_1.jpg
\ No newline at end of file
013563_0.jpg 013564_1.jpg
013564_0.jpg 013563_1.jpg
013565_0.jpg 013566_1.jpg
013566_0.jpg 013565_1.jpg
013567_0.jpg 013569_1.jpg
013568_0.jpg 013570_1.jpg
013569_0.jpg 013567_1.jpg
013570_0.jpg 013568_1.jpg
\ No newline at end of file
###########################
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.
000000_0.jpg 000000_1.jpg 0
000001_0.jpg 000001_1.jpg 0
000002_0.jpg 000002_1.jpg 0
000003_0.jpg 000003_1.jpg 0
000004_0.jpg 000004_1.jpg 0
000005_0.jpg 000005_1.jpg 0
000006_0.jpg 000006_1.jpg 0
000007_0.jpg 000007_1.jpg 0
013563_0.jpg 013563_1.jpg 1
013564_0.jpg 013564_1.jpg 1
013565_0.jpg 013565_1.jpg 1
013566_0.jpg 013566_1.jpg 1
013567_0.jpg 013567_1.jpg 1
013568_0.jpg 013568_1.jpg 1
013569_0.jpg 013569_1.jpg 1
013570_0.jpg 013570_1.jpg 1
020714_0.jpg 020714_1.jpg 2
020715_0.jpg 020715_1.jpg 2
020716_0.jpg 020716_1.jpg 2
020717_0.jpg 020717_1.jpg 2
020718_0.jpg 020718_1.jpg 2
020719_0.jpg 020719_1.jpg 2
020720_0.jpg 020720_1.jpg 2
020721_0.jpg 020721_1.jpg 2
\ No newline at end of file
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment