#javascript #ai #caffe #caffe2 #coreml #darknet #deep_learning #deeplearning #keras #machine_learning #machinelearning #ml #mxnet #neural_network #onnx #paddle #pytorch #tensorflow #tensorflow_lite #torch #visualizer
https://github.com/lutzroeder/netron
https://github.com/lutzroeder/netron
GitHub
GitHub - lutzroeder/netron: Visualizer for neural network, deep learning and machine learning models
Visualizer for neural network, deep learning and machine learning models - lutzroeder/netron
#python #pytorch #yolo #implicit #representation #darknet #explicit #yolov4 #scaled_yolov4 #yolov4_csp #yolor #unified_network
https://github.com/WongKinYiu/yolor
https://github.com/WongKinYiu/yolor
GitHub
GitHub - WongKinYiu/yolor: implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (ht…
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206) - WongKinYiu/yolor
#python #darknet #pytorch #scaled_yolov4 #yolor #yolov3 #yolov4 #yolov7
https://github.com/WongKinYiu/yolov7
https://github.com/WongKinYiu/yolov7
GitHub
GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time…
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors - WongKinYiu/yolov7
#python #darknet_yolo #deep_learning #galvanometer #kill_mosquito #laser #machine_vision #mosquito #opencv #raspberry_pi #triangulation #weedcontrol
https://github.com/Ildaron/Laser_control
https://github.com/Ildaron/Laser_control
GitHub
GitHub - Ildaron/Laser_control: Laser for control mosquito, weed, and pest
Laser for control mosquito, weed, and pest. Contribute to Ildaron/Laser_control development by creating an account on GitHub.
#jupyter_notebook #darknet #pytorch #scaled_yolov4 #yolor #yolov3 #yolov4 #yolov7
YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments.
https://github.com/WongKinYiu/yolov7
YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments.
https://github.com/WongKinYiu/yolov7
GitHub
GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time…
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors - WongKinYiu/yolov7