Counting traffic at an intersection
Budget: $50 – $150 USD
Task:
There are records of CCTV cameras installed at intersections of traffic streets. You need to write a program (in Python, using Pytorch/TensorFlow-KERAS) which will calculate the number of vehicles by time for each line of these vehicles. The program saves the results in a data file format, where the first column is the time, the second column is the number of vehicles, the third column is the class of transport. That is, it is necessary for the results to be saved as a temporary set of data.
Samples of CCTV recordings can be found in Google.Drive (link: https://drive.google.com/file/d/1XN-B473WVp-qZoU822gSxaZWNDC0qund/view?usp=share_link;).
PS: It is desirable to write the program in Jupiter Notebook, and it is also desirable to comment each block of code, for example, which subtask is solved, and what it is done for.
There are records of CCTV cameras installed at intersections of traffic streets. You need to write a program (in Python, using Pytorch/TensorFlow-KERAS) which will calculate the number of vehicles by time for each line of these vehicles. The program saves the results in a data file format, where the first column is the time, the second column is the number of vehicles, the third column is the class of transport. That is, it is necessary for the results to be saved as a temporary set of data.
Samples of CCTV recordings can be found in Google.Drive (link: https://drive.google.com/file/d/1XN-B473WVp-qZoU822gSxaZWNDC0qund/view?usp=share_link;).
PS: It is desirable to write the program in Jupiter Notebook, and it is also desirable to comment each block of code, for example, which subtask is solved, and what it is done for.