Pinned Repositories
android-demo-app
PyTorch android examples of usage in applications
FcaNet
FcaNet: Frequency Channel Attention Networks
flexible-yolov5
More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt
mobilenetv3.pytorch
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
Obstacle-Detection-for-Blind-people-Deployment
PyTorch-Computer-Vision-Cookbook
PyTorch Computer Vision Cookbook, Published by Packt
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
yolov5
yolov5-mobilenetv3
myasser63's Repositories
myasser63/yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
myasser63/yolov5
myasser63/yolov5-mobilenetv3
myasser63/android-demo-app
PyTorch android examples of usage in applications
myasser63/FcaNet
FcaNet: Frequency Channel Attention Networks
myasser63/flexible-yolov5
More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt
myasser63/mobilenetv3.pytorch
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
myasser63/Obstacle-Detection-for-Blind-people-Deployment
myasser63/PyTorch-Computer-Vision-Cookbook
PyTorch Computer Vision Cookbook, Published by Packt
myasser63/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
myasser63/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
myasser63/YOLOv5-Streamlit-Deployment
A Steamlit template for YOLOv5
myasser63/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors