monchhichizzq's repositories
Unet_Medical_Segmentation
This is an implementation of “U-Net: Convolutional Networks for Biomedical Image Segmentation” and "UNet++: A Nested U-Net Architecture for Medical Image Segmentation" in Python and powered by the Tensorflow2 deep learning framework. Unet family has been proposed for a more precise segmentation on medical image.
tensorflow2-yolov5
YoloV5 implemented by TensorFlow2 , with support for training, evaluation and inference.
DeepLabV3_plus
DeepLabV3+ is a state-of-art deep learning model for semantic image segmentation.
Tensorflow2-yolov4
YoloV4 implemented by TensorFlow2 , with support for training, evaluation and inference.
Mobilenet-SSD-Kitti-Object-Detection
Mobilenet-SSD-Kitti-Object-Detection
CenterNet
CenterNet for object detection
google-research
Google Research
keras
Deep Learning for humans
loss_summary
A simple summary of loss functions in machine learning
MobileNet-summary-Z
MobileNet is a mobile classification network proposed by Google
Model_Prunning
Several basic methods for model compression
Model_Quantization
The basic methods for model quantization
movenet_pytorch
A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
pip_tutorial
This is a simple example package.
Semantic_Segmentation
Image segmentation refers to dividing an image into several disjoint regions based on features such as grayscale, color, spatial texture, geometric shape, etc., so that these features show consistency or similarity within the same region, while showing significant differences between different regions
StreamYOLO
Real-time Object Detection for Streaming Perception, CVPR 2022
Tensorflow2-HRNet
HRNet implemented by TensorFlow2 , with support for training, evaluation and inference.