Hi @dbash
after running the evaluation of the pre-trained deeplab ZeroWaste using the following code:
!python /content/drive/MyDrive/Evaluation_ZeroWaste_Deeplab/train_net.py --config-file /content/drive/MyDrive/Evaluation_ZeroWaste_Deeplab/zerowaste_config. yaml --dataroot /content/drive/MyDrive/Evaluation_ZeroWaste_Deeplab/ZeroWasteAug --eval-only OUTPUT_DIR /content/drive/MyDrive/Evaluation_ZeroWaste_Deeplab/outputs/results_mod/ MODEL.WEIGHTS /content/drive/MyDrive/Evaluation_ZeroWaste_Deeplab/model_final_aug.pth
I have the sem_seg_predictions.json which contains the segmentations for each image of the ZeroWasteAug test dataset. Here is an extract from the file:
[{
"file_name": "/content/drive/MyDrive/Evaluation_ZeroWaste_Deeplab/ZeroWasteAug/test/data/01_frame_000680.PNG",
"category_id": 0,
"segmentation": {
"size": [1080, 1920],
"counts": "0ja0T2j[...]0VYO"
}
},
Now I want to visualise the results, like plotting the predictions of some images to compare them with the GT images. But I am not sure how to do this because I do not know how to deal with this sem_seg_predictions.json? Do you have any code to do this task. I would really appreciate it.
Hi @dbash
after running the evaluation of the pre-trained deeplab ZeroWaste using the following code:
I have the
sem_seg_predictions.jsonwhich contains the segmentations for each image of the ZeroWasteAug test dataset. Here is an extract from the file:Now I want to visualise the results, like plotting the predictions of some images to compare them with the GT images. But I am not sure how to do this because I do not know how to deal with this
sem_seg_predictions.json? Do you have any code to do this task. I would really appreciate it.