YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) - AlexeyAB/darknet

A complete guide to object detection using YOLO V4 and OpenCV. This collection of Google Colab-Notebooks demonstrates how to perform object detection using the YOLO V4 model. …

pytorch_yolo.py: it is just a basic library derived from trident , to define darknet and yolo basic block. pytorch_darknet.py: we can construction yolo v4 network and load pretrained weights …

track-yolo; 2020-11-23 - support teacher-student learning. 2020-11-17 - pytorch 1.7 compatibility. 2020-11-06 - support inference with initial weights. 2020-10-21 - fully supported by darknet. …

2024年11月6日 · Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask. opencv flask tracking livestream traffic yolo object-detection object-tracking traffic …

2020年8月26日 · Velodyne point clouds (29 GB): input data to the Complex-YOLO model; Training labels of object data set (5 MB): input label to the Complex-YOLO model; Camera …

CutMix is to cover the cropped image to rectangle region of other images, and adjusts the label according to the size of the mix area. Mosaic represents a new data augmentation method that …

├── README.md ├── dataset.py dataset ├── demo.py demo to run pytorch --> tool/darknet2pytorch ├── demo_darknet2onnx.py tool to convert into onnx --> …

Same logic than Yolo v4 but with only 26 layers and 2 output layers. All the steps are included in the jupyter notebooks YoloV3-tiny_tf.ipynb and YoloV3-tiny_Train_tf.ipynb The steps to create …

YOLO v4 network architecture is comprised of three sections i.e. Backbone, Neck and Detection Head. Backbone: CSP-Darknet53(Cross-Stage-Partial Darknet53) is used as the backbone for …