Working on script to test how the functions work

understand.py

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+import matplotlib.pyplot as plt
+import requests, validators
+import torch
+import pathlib
+import numpy as np
+from PIL import Image
+
+from transformers import DetrFeatureExtractor, DetrForSegmentation, MaskFormerImageProcessor, MaskFormerForInstanceSegmentation
+from transformers.models.detr.feature_extraction_detr import rgb_to_id
+
+TEST_IMAGE = Image.open(r"images/Test_Street_VisDrone.JPG")
+MODEL_NAME_DETR = "facebook/detr-resnet-50-panoptic"
+MODEL_NAME_MASKFORMER = "facebook/maskformer-swin-large-coco"
+DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+#######
+# Parameters
+#######
+image = TEST_IMAGE
+model_name = MODEL_NAME_MASKFORMER
+
+# Starting with MaskFormer
+
+processor = MaskFormerImageProcessor.from_pretrained(model_name)
+model = MaskFormerForInstanceSegmentation.from_pretrained(model_name)
+
+model.to(DEVICE)
+
+# img = np.array(TEST_IMAGE)
+
+inputs = processor(images=image, return_tensors="pt")
+inputs.to(DEVICE)
+
+
+outputs = model(**inputs)