Grid indices overflow bug fix (#1313)
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@@ -1,5 +1,6 @@
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import glob
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import glob
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import logging
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import logging
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import math
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import os
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import os
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import platform
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import platform
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import random
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import random
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@@ -12,7 +13,6 @@ from copy import copy
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from pathlib import Path
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from pathlib import Path
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import cv2
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import cv2
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import math
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import matplotlib
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import matplotlib
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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import numpy as np
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import numpy as np
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@@ -589,7 +589,7 @@ def build_targets(p, targets, model):
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# Append
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# Append
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a = t[:, 6].long() # anchor indices
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a = t[:, 6].long() # anchor indices
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indices.append((b, a, gj, gi)) # image, anchor, grid indices
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indices.append((b, a, gj.clamp_(0, gain[3]), gi.clamp_(0, gain[2]))) # image, anchor, grid indices
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tbox.append(torch.cat((gxy - gij, gwh), 1)) # box
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tbox.append(torch.cat((gxy - gij, gwh), 1)) # box
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anch.append(anchors[a]) # anchors
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anch.append(anchors[a]) # anchors
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tcls.append(c) # class
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tcls.append(c) # class
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@@ -1096,7 +1096,8 @@ def plot_images(images, targets, paths=None, fname='images.jpg', names=None, max
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cv2.rectangle(mosaic, (block_x, block_y), (block_x + w, block_y + h), (255, 255, 255), thickness=3)
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cv2.rectangle(mosaic, (block_x, block_y), (block_x + w, block_y + h), (255, 255, 255), thickness=3)
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if fname is not None:
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if fname is not None:
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mosaic = cv2.resize(mosaic, (int(ns * w * 0.5), int(ns * h * 0.5)), interpolation=cv2.INTER_AREA)
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r = min(1280. / max(h, w) / ns, 1.0) # ratio to limit image size
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mosaic = cv2.resize(mosaic, (int(ns * w * r), int(ns * h * r)), interpolation=cv2.INTER_AREA)
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# cv2.imwrite(fname, cv2.cvtColor(mosaic, cv2.COLOR_BGR2RGB)) # cv2 save
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# cv2.imwrite(fname, cv2.cvtColor(mosaic, cv2.COLOR_BGR2RGB)) # cv2 save
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Image.fromarray(mosaic).save(fname) # PIL save
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Image.fromarray(mosaic).save(fname) # PIL save
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return mosaic
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return mosaic
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