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api_demo

Client side code for all APIs offered by Giscle Systems

automagic-object-detection

This repo contains the code written for the object detection models created by Team Automagic

basics_of_opencv

This is Basics of OpenCV for our new Giscle interns. You should review these codes and execute all the code with different data sets. https://giscle.com

custom-object-detection

Custom Object Detection for DashCam data, existing model used and will be added to for further enhancement

data-preparation

All the scripts related to data preparation.

deeplearning

Basics of Deep Learning

extract-frames-from-video

The data link which we will share, please use this script and extract the one frame from each sec. and use as your training dataset.

giscle_apis

You can find the client side code to access the Giscle Cognitive services

giscle_mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

gray-matter-lane-detection

This is work repository of team Gray Matter.

moto-dream-lane-detection-

This repository is related to detecting road lanes.

offercamios

opencv_python_fundamentals

Basic apps made with Opencv and Python ,includes Basic Filters, Edge Detection,Circle Detection,Thresholding,Face-Eye-Smile Detection

people-counter

Counts number of people passing through a user-generated Region of Interest

semantic_segmentation

Creating a Semantic_Segmentation model which can segment various categories on Indian roads

trajectoryplanning