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object-detection-via-hog-svm

This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries are requires

object-detection-with-sliding-window-and-classification

Object Detection using a classifier and sliding window

object-detection_from-scratch

object-localization-using-deep-reinforcement-learning

We have trained an intelligent agent that draws bounding boxes around an object in the image. This implementation combines CNN, DQN, and SVM to detect an object in an image. The algorithm extract features from CNN which are fed to DQN to train an agent to localize the object and this localized object is categorized using the SVM model.

objects_detection

Object detection with trained GoogLeNet CNN using sliding window method

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pyintertidaldem

Intertidal DEM from Spectral Imagery and Water Level

python-image-enhancement-with-bright-dark-prior

Python implementation of Nighttime low illumination image enhancement with single image using bright/dark channel prior.

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

r-cnn-object-detection

Simple R-CNN implementation to learn different object detection techniques and architectures (i.e., sliding windows, non-maximum suppression, selective search, ResNet50, MobileNet, etc.).

ranksrgan

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

rcnn

R-CNN: Regions with Convolutional Neural Network Features

react-native-reminders

react-native-webrtc

The WebRTC module for React Native

saliendet-open-detection

This is the official project for SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving

ships_detection

Classical object detection for ships using HoG+SVM for classification and Sliding Window approach for object detection.

tf-faster-rcnn

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

tf-ssd

Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones

tflite_flutter_plugin

TensorFlow Lite Flutter Plugin

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

vgg16

CNN model from scratch

vgg16__

Pytorch VGG implementation from scratch

yolo

YOLO v3 Object Detection with Voice Feedback using gTTS

yolo-cfar

"YOLO-CFAR: a Novel CFAR Target Detection Method Based on YOLO"

yolo3-tiny

Lightweight and Fast Deep Learning based Object Detection