sathyanath42/spark

OpenCV Study

SPARK

OpenCV Study : This repository acts as an archive for all the code i have developed during my internship at the Sparks foundation.

---

System Details: OpenCV 4.4 with Anaconda 4.9.2 and Python 3.7

---

GRIP TASK 1 : Object Detection with MobileNetSSD

• USAGE : python GRIP_task1.py --image images/sofa.png --prototxt bvlc_googlenet.prototxt --model bvlc_googlenet.caffemodel --labels synset_words.txt
• Built with MobileNetSSD.
• Using the Word set
• Complete reference Object Detection with Deep Learning
• Demo

---

Additional grip task 1 : Detection of objects using Keras

• USAGE: python predict.py --image images/dog.jpg --model output/simple_nn.model --labelb output/simple_nn_lb.pickle --width 32 --height 32 --flatten 1
• Complete reference Keras tutorial

---

GRIP Task 2 : Traffic Sign Detection with Keras and Tensorflow

• USAGE for running model: GRIP_task2_model.py --dataset gtsrb-german-traffic-sign --model output/trafficsignnet.model
• USAGE for prediction: GRIP_task2_pred.py --model output/trafficsignnet.model --images gtsrb-german-traffic-sign/Test --testimage images
• Built with Keras and Tensorflow
• Complete reference Traffic sign detection
• Demo