tiny-faces-pytorch
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varunagrawal
Finding Tiny Faces in PyTorch
Bumps [numpy](https://github.com/numpy/numpy) from 1.16.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
Bumps [ipython](https://github.com/ipython/ipython) from 6.4.0 to 7.16.3. Commits d43c7c7 release 7.16.3 5fa1e40 Merge pull request from GHSA-pq7m-3gw7-gq5x 8df8971 back to dev 9f477b7 release 7.16.2 138f266 bring back release helper from master...
I use the code to test my own dataset(not wider face). The parameters is listed as follow: --dataset-root /media/yons/7AD02E63D02E263B1/workplace/facedataset/owndata/Pics2/ /media/yons/7AD02E63D02E263B1/workplace/facedataset/owndata/list2.txt --checkpoint ./checkpoint_50_best.pth --split test It has some problem as follow:...
Bumps [pygments](https://github.com/pygments/pygments) from 2.2.0 to 2.7.4. Release notes Sourced from pygments's releases. 2.7.4 Updated lexers: Apache configurations: Improve handling of malformed tags (#1656) CSS: Add support for variables (#1633, #1666)...
Hi, Thank you for open-sourcing your code, I am thankful for your time and efforts. I am trying your codebase on a Custom dataset and I have created the JBL...
Hi thank you really much for your work on this Pytorch version! I would like to run the code on a single external image/video. Does your code provide a demo...
![Uploading 捕获.PNG…]() usage: Model Evaluator [-h] [--split SPLIT] [--dataset-root DATASET_ROOT] [--checkpoint CHECKPOINT] [--prob_thresh PROB_THRESH] [--nms_thresh NMS_THRESH] [--workers WORKERS] [--batch_size BATCH_SIZE] [--results_dir RESULTS_DIR] [--debug] dataset Model Evaluator: error: argument --checkpoint: expected...
Here's the original piece of code https://github.com/varunagrawal/tiny-faces-pytorch/blob/dbe0ee57ddc41891b5228ec244946b84480d87bf/models/utils.py#L36 However the actual tensor is 4-dimensional of shape `(1,h*s,w*s,25)`, which would lead to an out-of-bound error when the input image resolution is lower...
