I used tensoflow object detection API to count the number of cars detected. But now i want to calculate the speed of all the cars detected. My question is is there any way to do this using tensorflow object detection API.
相关问题
- batch_dot with variable batch size in Keras
- How to use Reshape keras layer with two None dimen
- CV2 Image Error: error: (-215:Assertion failed) !s
- Why keras use “call” instead of __call__?
- How to conditionally scale values in Keras Lambda
相关文章
- tensorflow 神经网络 训练集准确度远高于验证集和测试集准确度?
- Tensorflow: device CUDA:0 not supported by XLA ser
- Numpy array to TFrecord
- conditional graph in tensorflow and for loop that
- How to downgrade to cuda 10.0 in arch linux?
- Apply TensorFlow Transform to transform/scale feat
- How to force tensorflow tensors to be symmetric?
- keras model subclassing examples
You have keep track of the location of the cars with respect to pixels in intervals of time. You can start and stop the recording of time using 'time' library.
Also, if you are planning to calculate car speeds, you have to take the relative speed with respect to the camera movement. It would be easier if your camera is in a still position.