This week I solved a problem refering to the MOT dataset sequences I obtained. It seems that the duration and FPS indicated in the web are not ok (https://motchallenge.net/data/MOT17Det/) so I introduced images source directly to be able to feed the aplication with the raw frames. I also realized that...
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Week 26 - Tracker confidence, new configuration options, logger improved
This week I introduced a confidence thresholding into the Tracker, so now the trackers are checked according to a value (in case of dlib tracking) or a boolean (in case of OpenCV tracking). This way I pretend to improve the results obtained and it allows some tuning of the tracker....
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Week 25 - First metrics obtained
After introducing ROS I started working on getting the first results using datasets with the application. To do this some hotfixes were done including the log of the first and last frame of a processed video (which were failing before) and the rescale of the detections for the log according...
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Week 24 - Introducing ROS
The main task this week was the introduction of ROS as an image source in the application. Now, we can read from video and local camera using OpenCV and from local stream using ROS usb_cam driver.
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Week 23 - Fixing bugs, datasets parsing
This week some necessary bugs were fixed. First, the log from the Tensorflow networks are now done fine. In the previous versions only the logging from Keras networks were working. Also, the first and last frames from a local video source are now processed and logged. An initial version of...
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