bouderbal-imene Goto Github PK

awesome-autonomous-driving

bottleneck-invertedresidual-fusedmbconv-in-pytorch

A little walk-trough different types of the block with their corresponding implementation in PyTorch

cae-admm

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

compression

Data compression in TensorFlow

cs-ssd

Code for paper: Towards SSD accelerating for embedded environments: a Compressive Sensing Based Approach.

csnet

Reimplementation of CSNet (Deep network for compressed image sensing, ICME17)

darknet_

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

fsoinet

generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

image-compression-cnn

Semantic JPEG image compression using deep convolutional neural network (CNN)

image-compression-using-k-mean

This notebook consist of implementation of K-Mean clustering algorithm on an image to compress it from scratch using only numpy

image-compression-with-k-means-clustering

Implemented the K-means algorithm with Octave and Python for image compression.

imagecompressionnn

Implementation of: Real-Time Adaptive Image Compression by Oren Rippel and Lubomir Bourdev

jpeg-compression

Information Theory project : Implementation of JPEG Image Compression

jpeg_deep

keras-image-segmentation

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

mobilenetv3

A Keras implementation of MobileNetV3.

multi-object-tracker

Multi-object trackers in Python

nuscenes-devkit

The devkit of the nuScenes dataset.

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

pynq_facialrec

Embedded facial recognition system involving PYNQ board, Webcam, and HDMI output.

python_for_image_processing_apeer

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

pytorch_custom_yolo_training

An easy way to train a Yolo object detector with your custom images dataset, using PyTorch

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

self-driving-car

The Udacity open source self-driving car project

tip-csnet

The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".

yolov3-googlecolab

A walk through the code behind setting up YOLOv3 with darknet and training it and processing video on Google Colaboratory

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

yolov4-tutorials

This video tutorial series shows you how to infer and train your own custom YOLOv4 models, Step-by-step