YOLOv2_d2p_adv_COCO_thys2019

This repository has the code needed to train 'Adversarial Patch Attacks' on YOLO and SSD models for object detection in Pytorch:

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
cfg		cfg
lib_ssd		lib_ssd
loss_tracking		loss_tracking
networks_cfgs/cfgs		networks_cfgs/cfgs
non_printability		non_printability
patches		patches
saved_patches_mytrial		saved_patches_mytrial
toolv4		toolv4
utilsv3		utilsv3
utilsv4		utilsv4
vision		vision
weights		weights
.gitattributes		.gitattributes
README.md		README.md
_gitignore		_gitignore
adversarial_examples.py		adversarial_examples.py
cfg.py		cfg.py
darknet.py		darknet.py
darknet_yolov3.py		darknet_yolov3.py
load_data.py		load_data.py
median_pool.py		median_pool.py
patch_config.py		patch_config.py
test_patch.py		test_patch.py
train_patch_mbntv1_ssd.py		train_patch_mbntv1_ssd.py
train_patch_mbntv2_ssd_lite.py		train_patch_mbntv2_ssd_lite.py
train_patch_nets_ensemble.py		train_patch_nets_ensemble.py
train_patch_vgg16_ssd.py		train_patch_vgg16_ssd.py
train_patch_yolov2.py		train_patch_yolov2.py
train_patch_yolov3.py		train_patch_yolov3.py
train_patch_yolov4.py		train_patch_yolov4.py
utils.py		utils.py

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