YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
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Updated
Oct 4, 2021 - C
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YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOv5
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Object detection and instance segmentation toolkit based on PaddlePaddle.
PyTorch ,ONNX and TensorRT implementation of YOLOv4
A PyTorch implementation of the YOLO v3 object detection algorithm
Implementation of popular deep learning networks with TensorRT network definition API
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
YoloV3 Implemented in Tensorflow 2.0
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
High level network definitions with pre-trained weights in TensorFlow
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
A caffe implementation of MobileNet-YOLO detection network
TensorRT8.Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
yolo(all versions) implementation in keras and tensorflow 2.x
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT
增值税发票OCR识别,使用flask微服务架构,识别type:增值税电子普通发票,增值税普通发票,增值税专用发票;识别字段为:发票代码、发票号码、开票日期、校验码、税后金额等
Keras implementation of yolo v3 object detection.
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我发现很多人在使用voc格式的数据集时,和我遇到了同样的问题,训练时AP一直为0,
今早,仔细检查后,我也找到了真正的原因,主要是数据加载的地方出现了问题,还是我们自己太不仔细了
解决流程思路: 解决YOLOX训练时AP为0