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The Wayback Machine - https://web.archive.org/web/20220904202959/https://github.com/topics/darknet
Here are
589 public repositories
matching this topic...
Visualizer for neural network, deep learning, and machine learning models
Updated
Sep 4, 2022
JavaScript
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Updated
May 26, 2022
Python
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Updated
Aug 29, 2022
Python
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Updated
Sep 2, 2022
Jupyter Notebook
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Updated
Aug 29, 2022
Python
Updated
Jul 27, 2022
Python
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
YOLO ROS: Real-Time Object Detection for ROS
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥 🔥 🔥
License Plate Detection and Recognition in Unconstrained Scenarios
Updated
Sep 29, 2021
Python
An open source tool to quantify the world
Updated
Jul 18, 2022
JavaScript
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
A caffe implementation of MobileNet-YOLO detection network
Updated
Aug 25, 2021
Python
Label images and video for Computer Vision applications
Updated
Jul 6, 2022
Python
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
Updated
Apr 24, 2022
Jupyter Notebook
NVIDIA DeepStream SDK 6.1 / 6.0.1 / 6.0 configuration for YOLO models
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