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Add fit_in_frame option for InstanceDiffusion bboxes

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Kijai 2024-05-06 16:55:52 +03:00
parent 00a50617ec
commit 06a905414e
1 changed files with 10 additions and 4 deletions
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14
nodes/curve_nodes.py
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@ -718,10 +718,11 @@ for example:
},
"optional": {
"size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
"fit_in_frame": ("BOOLEAN", {"default": True}),
}
}
def tracking(self, coordinates, class_name, class_id, width, height, bbox_width, bbox_height, prompt, size_multiplier=[1.0]):
def tracking(self, coordinates, class_name, class_id, width, height, bbox_width, bbox_height, prompt, size_multiplier=[1.0], fit_in_frame=True):
# Define the number of images in the batch
coordinates = coordinates.replace("'", '"')
coordinates = json.loads(coordinates)
@ -744,9 +745,16 @@ for example:
bottom_right_x = x + adjusted_bbox_width // 2
bottom_right_y = y + adjusted_bbox_height // 2
if fit_in_frame:
# Clip the coordinates to the frame boundaries
top_left_x = max(0, top_left_x)
top_left_y = max(0, top_left_y)
bottom_right_x = min(width, bottom_right_x)
bottom_right_y = min(height, bottom_right_y)
# Append the top left and bottom right coordinates to the list for the current ID
id_coordinates.append([top_left_x, top_left_y, bottom_right_x, bottom_right_y, width, height])
class_id = int(class_id)
# Assign the list of coordinates to the specified ID within the class_id dictionary
tracked[class_name][class_id] = id_coordinates
@ -897,13 +905,11 @@ CreateInstanceDiffusionTracking -node.
colormap = cm.get_cmap('rainbow', len(tracking))
if draw_text:
#font = ImageFont.load_default()
font = ImageFont.truetype(font, font_size)
# Iterate over each image in the batch
for i in range(image.shape[0]):
# Extract the current image and convert it to a PIL image
# Adjust the tensor to (C, H, W) for ToPILImage
current_image = image[i, :, :, :].permute(2, 0, 1)
pil_image = transforms.ToPILImage()(current_image)