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Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Results 15 Vehicle-Detection-and-Tracking issues
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Made it work with TensorFlow 2.1.0 (using the ".v1." trick in the function calls) and sklearn 0.23.1 (by switching from sklearn.utils.linear_assignment_ to scipy.optimize.linear_sum_assignment) and fixed some weird import bug in...

I am trying to assign id to the tracked object but nothing is giving me an output , can any please give some idea about this, and can you please...

Traceback (most recent call last): File "main.py", line 200, in image_box = pipeline(image) File "main.py", line 112, in pipeline = assign_detections_to_trackers(x_box, z_box, iou_thrd = 0.3) File "main.py", line 56, in...

Kindly provide requirements.txt file.

Traceback (most recent call last): File "E:/PycharmProject/Vehicle-Detection-and-Tracking/main.py", line 201, in image_box = pipeline(image) File "E:/PycharmProject/Vehicle-Detection-and-Tracking/main.py", line 115, in pipeline = assign_detections_to_trackers(x_box, z_box, iou_thrd=0.3) File "E:/PycharmProject/Vehicle-Detection-and-Tracking/main.py", line 71, in assign_detections_to_trackers if...

Hi! when i run the main.py, it happended to be a problem called ''NameError: name 'Tracker' is not defined" and "2.82it/s]wrong ratio or wrong size, [426 230 441 257] ,...

[420 4 457 68] , confidence: 0.44781974 ratio: 0.5780346820809248 [424 225 451 263] , confidence: 0.32874542 ratio: 0.7103393843725336 Frame: 1 --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in 198 for...

Traceback (most recent call last): File "/usr/lib/python3.6/code.py", line 91, in runcode exec(code, self.locals) File "", line 1, in File "/snap/pycharm-professional/132/helpers/pydev/_pydev_bundle/pydev_import_hook.py", line 21, in do_import module = self._system_import(name, *args, **kwargs) File...

Hi @kcg2015, Thanks for your great work. I have a question on function `Deal with matched detections` in `main.py`. Assume in the 1st frame, there is no matched detections, then...