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Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enrichi...
Thank you very much for your work, it's very beneficial, can you give the code that implements the real-time video attack?
Hi, I used the pretrained model, which is working fine. but when I am training keras-yolov3 model with following steps: 1-> converted the VOC annotations to specific format mentioned in...
Dear authors: I'm running the demo on yolov3,but I don't have YOLOv3_Darknet53.h5 file.Can you supply the file? Thanks a lot!
Note: Going through the yolov3_darknet demo file in colab. The error while trying to load the model file. Note: .h5 file is downloaded from the given link in notebook only....
ZeroDivisionError Traceback (most recent call last) in 69 # Compute training statistics 70 epoch_loss = float(np.mean(epoch_loss)) ---> 71 ASR_TOG = score_adv / num_rois 72 ASR_Rand = score_rand / num_rois 73...
from attack_utils.patch_utils import extract_roi, evaluate_vanishing_patch, evaluate_mislabeling_patch from dataset_utils.preprocessing import letterbox_image_padded from models.yolov3 import YOLOv3_Darknet53 from misc_utils.visualization import visualize_detections from tensorflow.keras import backend as K from tqdm import tqdm from PIL...
get mAP
I have trained the yolov3 model with my own dataset. I want to get the mAP before and after the attack. I saw in your paper that you also recorded...
I don't know how to solve it.I create the virtual environment as the requirements.txt.when I run,the picture is full of wrong boxes.
Have you ever tried to generate a single channel patch? Does the placement of the patch affect the experimental results?
For demo_frcnn.ipynb, in FRCNN.py : from model.bbox_transform import clip_boxes, bbox_transform_inv from nets.vgg16 import vgg16 from model.config import cfg Can't find