human-detection VS EDSR_Tensorflow

Compare human-detection vs EDSR_Tensorflow and see what are their differences.

human-detection

yolov3 tensorflow object detection and report human movements in persian (by nimadorostkar)

EDSR_Tensorflow

TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'. (by Saafke)
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human-detection EDSR_Tensorflow
1 3
34 211
- -
4.4 0.0
6 months ago about 1 year ago
Python Python
- Apache License 2.0
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human-detection

Posts with mentions or reviews of human-detection. We have used some of these posts to build our list of alternatives and similar projects.

EDSR_Tensorflow

Posts with mentions or reviews of EDSR_Tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-19.

What are some alternatives?

When comparing human-detection and EDSR_Tensorflow you can also consider the following projects:

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

torchSR - Super Resolution datasets and models in Pytorch

Traffic-Signal-Violation-Detection-System - A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)

BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.