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draw obj box box_centroid_to_upleft_butright --> is_center
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tensorlayer/visualize.py

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -90,7 +90,7 @@ def imsave(images, size, path):
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# for object detection
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def draw_boxes_and_labels_to_image(image, classes=[], coords=[],
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scores=[], classes_list=[],
93-
box_centroid_to_upleft_butright=True, is_rescale=True, save_name=None):
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is_center=True, is_rescale=True, save_name=None):
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""" Draw bboxes and class labels on image. Return or save the image with bboxes, example in the docs of ``tl.prepro``.
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Parameters
@@ -99,10 +99,10 @@ def draw_boxes_and_labels_to_image(image, classes=[], coords=[],
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classes : a list of class ID (int).
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coords : a list of list for coordinates.
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- Should be [x, y, x2, y2] (up-left and botton-right format)
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- If [x_center, y_center, w, h] (set box_centroid_to_upleft_butright to True).
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- If [x_center, y_center, w, h] (set is_center to True).
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scores : a list of score (float). (Optional)
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classes_list : list of string, for converting ID to string on image.
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box_centroid_to_upleft_butright : boolean, defalt is True.
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is_center : boolean, defalt is True.
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If coords is [x_center, y_center, w, h], set it to True for converting [x_center, y_center, w, h] to [x, y, x2, y2] (up-left and botton-right).
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If coords is [x1, x2, y1, y2], set it to False.
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is_rescale : boolean, defalt is True.
@@ -129,7 +129,7 @@ def draw_boxes_and_labels_to_image(image, classes=[], coords=[],
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thick = int((imh + imw) // 430)
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for i in range(len(coords)):
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if box_centroid_to_upleft_butright:
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if is_center:
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x, y, x2, y2 = prepro.obj_box_coord_centroid_to_upleft_butright(coords[i])
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else:
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x, y, x2, y2 = coords[i]

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