Pinned Repositories
arcgis-runtime-samples-android
ArcGIS Runtime SDK for Android Samples
jetson_stats
📊 Simple package for monitoring and control your NVIDIA Jetson [Xavier NX, Nano, AGX Xavier, TX1, TX2]
Maple-Syrup-Pi-Camera
Low power smart camera (3D printed) based on the Raspberry Pi Zero W and Google Coral EdgeTPU
mobilenet-yolov4-lite-pytorch
这是一个mobilenet-yolov4-lite的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。
norfair
Lightweight Python library for adding real-time object tracking to any detector.
object-detection-api
Make it easy to train and deploy Object Detection(SSD) and Image Segmentation(Mask R-CNN) Model Using TensorFlow Object Detection API.
Remote-Sensing-Image-Recognition
RPi4-Google-Coral
Google Coral on the Raspberry Pi 4
TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
YOLO-Multi-Backbones-Attention
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
congliangzhou's Repositories
congliangzhou/Remote-Sensing-Image-Recognition
congliangzhou/arcgis-runtime-samples-android
ArcGIS Runtime SDK for Android Samples
congliangzhou/jetson_stats
📊 Simple package for monitoring and control your NVIDIA Jetson [Xavier NX, Nano, AGX Xavier, TX1, TX2]
congliangzhou/Maple-Syrup-Pi-Camera
Low power smart camera (3D printed) based on the Raspberry Pi Zero W and Google Coral EdgeTPU
congliangzhou/mobilenet-yolov4-lite-pytorch
这是一个mobilenet-yolov4-lite的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。
congliangzhou/norfair
Lightweight Python library for adding real-time object tracking to any detector.
congliangzhou/object-detection-api
Make it easy to train and deploy Object Detection(SSD) and Image Segmentation(Mask R-CNN) Model Using TensorFlow Object Detection API.
congliangzhou/RPi4-Google-Coral
Google Coral on the Raspberry Pi 4
congliangzhou/TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
congliangzhou/YOLO-Multi-Backbones-Attention
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
congliangzhou/YOLO_metric
Calculate mean Average Precision (mAP) and confusion matrix for object detection models. Bounding box information for groundtruth and prediction is YOLO training dataset format.
congliangzhou/YOLOv4-pytorch
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
congliangzhou/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
congliangzhou/yolov5prune