Rcnn Libraries

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Rcnn Libraries

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

This is the code for our cs231n project. We investigated the problem of image super-resolution (SR), where we want to reconstruct high-resolution images from low-resolution images. We presented a res…

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.

Real-Time-Object-Detection-API-using-TensorFlow

A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming objects and preprocessing.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

Datasets drive vision progress, yet existing driving datasets are limited in terms of visual content, scene variation, the richness of annotations, and the geographic distribution and supported tasks…

FULL Implementation of RCNN from scratch

Computer vision as we know always move around classification and object detection and hence discussing some of the early breakthroughs are pretty sure helpful in understanding modern research. R-CNN …

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