Hello Mr @VSainteuf
I'm preparing my own dataset, I would like to add a new crop type by training the model but somehow i'm finding difficulties regarding the scripts used in this case.
I have the time series sentinel2 images ready including their corresponding npy DATA (TxCxN) and the META (labels.json, dates.json and sizes.json) however It seems like I need the geomfeat.json file also for the training part. Is there any way to generate it , to compute its 4 parameters specially the cover ratio.
Another thing, Can you please explain what is the use of "dataset.py" script exactly that takes in consideration the Data npy and it's META including labels.json and dates.json and what does it generate exactly as output?
Thank you!
Hello Mr @VSainteuf I'm preparing my own dataset, I would like to add a new crop type by training the model but somehow i'm finding difficulties regarding the scripts used in this case. I have the time series sentinel2 images ready including their corresponding npy DATA (TxCxN) and the META (labels.json, dates.json and sizes.json) however It seems like I need the geomfeat.json file also for the training part. Is there any way to generate it , to compute its 4 parameters specially the cover ratio. Another thing, Can you please explain what is the use of "dataset.py" script exactly that takes in consideration the Data npy and it's META including labels.json and dates.json and what does it generate exactly as output? Thank you!