Anatol Garioud

Hello @rajaram6052150 The pre-trained models available right now on our HF page have been trained with segmentation-models-pytorch. This might indeed not be clear for now, we will update the model...

You had the right link : https://huggingface.co/IGNF/FLAIR-INC_rgbie_15cl_resnet34-unet/blob/main/FLAIR-INC_rgbie_15cl_resnet34-unet_weights.pth Once downloaded locally, you should ajust the 'model_weights' path from the config file to point it.

@rajaram6052150, the flair-detect command is meant to infer over a 'large' area with overlap in inferences. If you image is 512*512 and img_pixels_detection is also 512 but with 128 overlap...

Glad it worked out @rajaram6052150, happy to help. flair-detect won't work with JPG/PNG images as it is meant to work with georeferenced inputs. I haven't planned to add support to...

hello @NickBear-star, ```flair-detect``` is meant to be used with larger images by including an overlap factor (detection size - margin). This overlap (or redundancy) in inferences is intentional to avoid...

Apologies, I've overlooked the issue. I can indeed reproduce some redundancy, but it only appears on the first top row. Can you confirm this?

Thanks for confirming that the issue only occurs on the edges. I appreciate your suggested replacement and will take a look at it.

Dear @kheinzz , Thank you for your feedback. I note the interest in a notebook, but we are currently working on a new version of the code, and this is...

Hello @axin1301, ```flair-detect``` uses the rasterio library and geographical information from the input raster to produce overlapping inferences. Hence you get this error. Apart from modifying the code to work...

Hello, As a maintainer of the FLAIR dataset at IGN, i greatly appreciate your effort in integrating our dataset. Seeing this issue i would like to give you some information...