you can order the drone that you say like I have added here open websites you can do it like drone go and open the light and he will and ok sir so it is unique for the drone and it will help people and h will be not a drone he will be your […]
you can order the drone that you say like I have added here open websites you can do it like drone go and open the light and he will and ok sir so it is unique for the drone and it will help people and h will be not a drone he will be your […]
Used yolov5s to train the data obtained from the given video upto 30epoch.Used motrackers iou tracker to track and count the cars.
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Used Yolo v5 to train the model. Manually annotated images. and trained the model for 300 epochs. Achieved an accuracy of 98%. Used EuclideanDistTracker and set the threshold of 145 to track the cars.
THIS IS AN AMAZING JUNKYARD CAR_COUNTER PROGRAM BUILT USING OPENCV-PYTHON
Here I implemented a car counter according to this competition: https://www.computervision.zone/dsc/. I used the Yolo5+deepsort repo (https://github.com/mikel-brostrom/Yol…), trained on the given video as a dataset, and modified the code a bit for the purpose of the contest (track.py from line 210-233). The modifications are the following: I store the detected ID-s in an array, and […]
Here I implemented a car counter according to this competition: https://www.computervision.zone/dsc/. I used the Yolo5+deepsort repo (https://github.com/mikel-brostrom/Yol…), trained on the given video as a dataset, and modified the code a bit for the purpose of the contest (track.py from line 210-233). The modifications are the following: I store the detected ID-s in an array, and […]
Here I implemented a car counter according to this competition: https://www.computervision.zone/dsc/. I used the Yolo5+deepsort repo (https://github.com/mikel-brostrom/Yol…), trained on the given video as a dataset, and modified the code a bit for the purpose of the contest (track.py from line 210-233). The modifications are the following: I store the detected ID-s in an array, and […]
Here I implemented a car counter according to this competition: https://www.computervision.zone/dsc/. I used the Yolo5+deepsort repo (https://github.com/mikel-brostrom/Yol…), trained on the given video as a dataset, and modified the code a bit for the purpose of the contest (track.py from line 210-233). The modifications are the following: I store the detected ID-s in an array, and […]
One Stop Computer vision
