Description
1 Requirement • Use the given pre-trained Yolov3 model to do the detection. • Set the threshold to 0.02 and 0.4 for each image (5 images in total). • Write a report: • 10 result images (5 for threshold 0.02, 5 for threshold 0.4). • The comparison of the threshold 0.02 and 0.4 (no more than 1 page). 2 Example You can check your correctness through the example image (ex.jpg). 3 ex.jpg threshold = 0.4 threshold = 0.02 Rules 4 • You are only allowed to use the given model weight ( yolo-acv.weights ), config file ( yolo-acv.cfg ) and data (obj.data) to do the inference. • No more training. • Test on given 5 images ( image_1.jpg, image_2.jpg, image_3.jpg, image_4.jpg, image_5.jpg ). • Do not copy others result images. • Feel free to use any code and function. Score • 8 points per image • 20 points for the report 5 Submission • Please name your report as .pdf and submit through New e3.