Offline Windows Video Frame Analyzer

via Freelancer ·

Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted2 hours ago
I need a Windows-only desktop application that runs entirely offline. The workflow is straightforward:

1. I open the program, browse my local folders, and pick any .mp4 file.
2. Before the scan starts, I set the frame-sampling rate—this could be every frame, every nth frame, or even a custom decimal rate such as 2.5 fps.
3. The app then performs object detection on those chosen frames. I do not mind which framework you use (YOLO, TensorFlow, OpenCV, ONNX, etc.) as long as everything is bundled so the tool works without an internet connection.
4. When the run finishes, the program produces a plain .txt sheet: one line per analysed frame containing the timestamp and the symbols / class names it detected. No other file formats are required.

Deliverables
• Stand-alone Windows executable (installer or portable)
• All necessary model files packaged for offline use
• Source code and brief build/run instructions

Acceptance Criteria
• User can freely select any local .mp4 file.
• Frame-sampling rate is fully configurable for each run.
• Object detection runs offline and lists detections accurately in the .txt sheet.
• Output file is generated automatically in the same folder as the video, named clearly.

If anything in this outline is unclear, let me know before you start so we can pin it down.
python windows desktop c# programming software architecture machine learning (ml) c++ programming opencv object detection
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