Pinned Repositories
DeepLabV3_plus
DeepLabV3+ is a state-of-art deep learning model for semantic image segmentation.
FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Mobilenet-SSD-Kitti-Object-Detection
Mobilenet-SSD-Kitti-Object-Detection
Mobilenet-Yolov4
Moblienet_SSD_tf2
Real-time-human-action-recognition
Tensorflow2-yolov4
YoloV4 implemented by TensorFlow2 , with support for training, evaluation and inference.
tensorflow2-yolov5
YoloV5 implemented by TensorFlow2 , with support for training, evaluation and inference.
tiny_CNN_CIFAR_10
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.
monchhichizzq's Repositories
monchhichizzq/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.
monchhichizzq/Mobilenet-Yolov4
monchhichizzq/Moblienet_SSD_tf2
monchhichizzq/tensorflow2-yolov5
YoloV5 implemented by TensorFlow2 , with support for training, evaluation and inference.
monchhichizzq/DeepLabV3_plus
DeepLabV3+ is a state-of-art deep learning model for semantic image segmentation.
monchhichizzq/Real-time-human-action-recognition
monchhichizzq/Tensorflow2-yolov4
YoloV4 implemented by TensorFlow2 , with support for training, evaluation and inference.
monchhichizzq/Mobilenet-SSD-Kitti-Object-Detection
Mobilenet-SSD-Kitti-Object-Detection
monchhichizzq/tiny_CNN_CIFAR_10
monchhichizzq/Autonomous_Driving
monchhichizzq/C-language
monchhichizzq/CenterNet
CenterNet for object detection
monchhichizzq/cifar_image_classification
monchhichizzq/Cuda_programming
monchhichizzq/excellent_code_homework
monchhichizzq/google-research
Google Research
monchhichizzq/Jetson_Nano
monchhichizzq/keras
Deep Learning for humans
monchhichizzq/loss_summary
A simple summary of loss functions in machine learning
monchhichizzq/MobileNet-summary-Z
MobileNet is a mobile classification network proposed by Google
monchhichizzq/Mobilenet_SSD
monchhichizzq/Model_Prunning
Several basic methods for model compression
monchhichizzq/Model_Quantization
The basic methods for model quantization
monchhichizzq/movenet_pytorch
A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
monchhichizzq/Picture-PS
monchhichizzq/pip_tutorial
This is a simple example package.
monchhichizzq/Pytorch_tutorials
monchhichizzq/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
monchhichizzq/StreamYOLO
Real-time Object Detection for Streaming Perception, CVPR 2022
monchhichizzq/Tensorflow2-HRNet
HRNet implemented by TensorFlow2 , with support for training, evaluation and inference.