Comments (7)
@ileniTudor - the file is just fine, I downloaded all today and looks good.
from multi-human-parsing.
I tried the zip file downloaded from Google Drive with two win10 laptops, and mine also says that the file is corrupted. Especially the files in val/ folder aren't working.
from multi-human-parsing.
Hi, we have checked the data and link, and we didn't find any problem. Please re-check your downloading engine and re-download the whole dataset. Please feel free to drop us an email if you have further questions. Thx.
from multi-human-parsing.
I tried the zip file downloaded from Google Drive with two win10 laptops, and mine also says that the file is corrupted. Especially the files in val/ folder aren't working.
I have checked the link and it looks fine. Please check your network and retry your download. Please tell us if you have further problems:)
from multi-human-parsing.
After trying, I found that only 7-zip can unzip the file successfully in Windows 10. I tried WinZip, Bandizip, Alzip, those programs couldn't interpret the header well.
from multi-human-parsing.
After trying, I found that only 7-zip can unzip the file successfully in Windows 10. I tried WinZip, Bandizip, Alzip, those programs couldn't interpret the header well.
Great.
from multi-human-parsing.
When I use PIL to load the images, I get Warnings
UserWarning: Possibly corrupt EXIF data. Expecting to read 131072 bytes but only got 0. Skipping tag 3
from multi-human-parsing.
Related Issues (20)
- 请去gitstar上更新项目名称
- reform_img? HOT 2
- Not able to download from Google Drive HOT 2
- Each pixel only belong to one label? Even on different people in the same image.
- When will the rework finish?
- LV-MHP-v1 analysis HOT 1
- Error when unzipping MHP v2 dataset HOT 3
- All faces annotations are occluded?
- FileNotFoundError HOT 6
- what are the dataset for each step training?
- Occluded Coordinates
- . HOT 1
- Not found: Key bg_fg/SegLayer/conv_0/conv_0/bias not found in checkpoint
- MHP v2.0 dataset baidu link is cancelled?
- Connections between poses and parsings
- quality of the GTs HOT 3
- dataset worked HOT 4
- output_sample.py
- many error label and error pose idx and miss pose instance
- incorrect kpts order
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