Update and Add Webcam Stream in Python for Advanced Smoke Detection Windows Software - Using YOLO-NAS

WE HAVE SOFTWARE BUILT FOR WINDOWS IN PYTHON AND NEED IT UPDATED: 1. Learn current software and get IDE and Git working for our updates. 2. Update Python Windows software to collect from a PC Web Camera STREAM. (See attached image) 3. Update software to accept any video stream. 4. Make sure the current loaded model runs across the stream. 5. Make sure GPU is used. (Not CPU) 6. LOAD / SAVE models function. 7. SHOW GPS coordinate contained in the model. Previous programmer did only 50% of work and dissappeared, you are the next star in our software advancement. I need a simple MVP with the above. I hav e customers waiting to see the MVP working with a screen record. Any and all work is to be loaded to our PC and sent to Git/Bit Bucket DAILY. We have a team who will check the work and progress. Original Project Outline ------- I am looking for a highly skilled and experienced coder in using YOLO or YOLO-NAS to help detect smoke in a video stream. Key Responsibilities: - Implement smoke detection in my video with high precision leveraging YOLO-NAS (8). - Enhance the algorithm to perform effectively regardless of the video provided. - Ensure high accuracy of smoke detection. Ideal Candidate Skills and Experience: - Proficiency in using YOLO or YOLO-NAS for object detection - Extensive experience in image or video analysis - Demonstrable successful projects in detection or similar task - Strong analytical capabilities to diagnose and address accuracy issues - Experience in optimizing YOLO-NAS models for specific application requirements. - Proficiency in handling real-time video processing and detection tasks. The underlying objective behind this smoke detection is not clarified yet, but ensuring high accuracy is paramount to the success of this project. Therefore, the perfect candidate preferably had worked on projects for fire prevention or early warning systems that required similar high-precision detection criteria. - Please provide the resulting detection video with probabilities on screen. -Please provide all code and libraries required. - Please specify training data used. (Do not use the video provided as we have many samples to run through the detection). Optimize the smoke detection for outdoor environments. Deploy the software on local servers.