Spaces:
Running
on
Zero
Running
on
Zero
Update segment.py
Browse files- segment.py +8 -0
segment.py
CHANGED
@@ -11,6 +11,7 @@ import numpy as np
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import argparse
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import matplotlib
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import gradio as gr
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def load_image(image_path, left=0, right=0, top=0, bottom=0, size = 512):
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if type(image_path) is str:
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@@ -52,6 +53,8 @@ def draw_panoptic_segmentation(segmentation, segments_info,save_folder=None, nos
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if torch.min(segmentation) == 0:
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mask = segmentation==0
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mask = mask.cpu().detach().numpy() # [512,512] bool
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segment_label = "rest"
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color = viridis(0)
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label = f"{segment_label}-{0}"
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@@ -65,6 +68,8 @@ def draw_panoptic_segmentation(segmentation, segments_info,save_folder=None, nos
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if torch.min(segmentation) != 0:
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segment_id -= 1
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mask = mask.cpu().detach().numpy() # [512,512] bool
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mask_np_list.append(mask)
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segment_label = model.config.id2label[segment['label_id']]
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instances_counter[segment['label_id']] += 1
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@@ -76,6 +81,9 @@ def draw_panoptic_segmentation(segmentation, segments_info,save_folder=None, nos
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label_list.append(label)
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else:
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mask = np.full(segmentation.shape, True)
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segment_label = "all"
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mask_np_list.append(mask)
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color = viridis(0)
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import argparse
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import matplotlib
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import gradio as gr
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import cv2
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def load_image(image_path, left=0, right=0, top=0, bottom=0, size = 512):
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if type(image_path) is str:
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if torch.min(segmentation) == 0:
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mask = segmentation==0
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mask = mask.cpu().detach().numpy() # [512,512] bool
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print(mask.shape)
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mask = cv2.resize(mask,(512,512))
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segment_label = "rest"
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color = viridis(0)
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label = f"{segment_label}-{0}"
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if torch.min(segmentation) != 0:
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segment_id -= 1
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mask = mask.cpu().detach().numpy() # [512,512] bool
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print(mask.shape)
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mask = cv2.resize(mask,(512,512))
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mask_np_list.append(mask)
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segment_label = model.config.id2label[segment['label_id']]
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instances_counter[segment['label_id']] += 1
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label_list.append(label)
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else:
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mask = np.full(segmentation.shape, True)
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print(mask.shape)
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mask = cv2.resize(mask,(512,512))
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segment_label = "all"
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mask_np_list.append(mask)
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color = viridis(0)
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