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Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using Flask

Python 93.40% Shell 0.68% CSS 1.45% HTML 4.47%

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hemantgosavi avatar jenishpaul99 avatar mukeshjain4444 avatar project-file avatar

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vehicle-identification-speed-detection's Issues

***Data extraction is not happening*** NEED HELP

The data extraction csv file of this project is going to the exceptions (even with valid data) and we are getting a blank csv file.

Can you please help us with this problem .We will be sooo grateful ;(

error ran this app using waitress

FileNotFoundError: [WinError 3] The system cannot find the path specified: './static/uploads\speed'
FileNotFoundError: [WinError 3] The system cannot find the path specified: './static/uploads\VidToFrame'
ERROR:main:Exception on /uploader [POST]

S:\Vehicle-Identification-Speed-Detection-main>waitress-serve --listen=127.0.0.1:7000 main:app
2024-02-10 21:52:27.231486: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
WARNING:tensorflow:From C:\Users\thaya\anaconda3\Lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.

2024-02-10 21:52:32.379712: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING:tensorflow:From C:\Users\thaya\anaconda3\Lib\site-packages\keras\src\backend.py:277: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

WARNING:tensorflow:From C:\Users\thaya\anaconda3\Lib\site-packages\keras\src\layers\pooling\max_pooling2d.py:161: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

INFO:waitress:Serving on http://127.0.0.1:7000
ERROR:main:Exception on /uploader [POST]
Traceback (most recent call last):
File "C:\Users\thaya\anaconda3\Lib\site-packages\flask\app.py", line 2525, in wsgi_app
response = self.full_dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\thaya\anaconda3\Lib\site-packages\flask\app.py", line 1822, in full_dispatch_request
rv = self.handle_user_exception(e)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\thaya\anaconda3\Lib\site-packages\flask\app.py", line 1820, in full_dispatch_request
rv = self.dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\thaya\anaconda3\Lib\site-packages\flask\app.py", line 1796, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "S:\Vehicle-Identification-Speed-Detection-main\main.py", line 435, in upload_file
for filename in os.listdir(vidToFramePath):
^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [WinError 3] The system cannot find the path specified: './static/uploads\VidToFrame'

video

can you please share me the video !!!

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