Making Convolutional LSTM Autoencoder for dehazing VIDEOS -- 2
Budget: $10 – $30 USD
1) Examine this implementation : https://towardsdatascience.com/convolutional-autoencoders-for-image-noise-reduction-32fce9fc1763
2)Swap CNN layers with CLTSM layers. (https://keras.io/examples/vision/conv_lstm/)
3) Made CLSTM Autoencoder
4)Give input video, output gives dehazed video.
Example Dataset in attachment. PLS write XX your at the beginning of the bid. So I can understand this is not AUTO-BID!
2)Swap CNN layers with CLTSM layers. (https://keras.io/examples/vision/conv_lstm/)
3) Made CLSTM Autoencoder
4)Give input video, output gives dehazed video.
Example Dataset in attachment. PLS write XX your at the beginning of the bid. So I can understand this is not AUTO-BID!