Open yawadugyamfi opened 8 years ago
Hi, I have also encountered this error. Seems like something is wrong in at least one of the annotations, an artificial solution is the following: in imdb.py
for b in range(len(boxes)):
if boxes[b][2] < boxes[b][0]:
boxes[b][0] = 0
assert (boxes[:, 2] >= boxes[:, 0]).all()
Hope this helps!
@marphil I get the following error: Process Process-1: Traceback (most recent call last): File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run self._target(_self._args, *_self._kwargs) File "./tools/train_faster_rcnn_alt_opt.py", line 122, in train_rpn roidb, imdb = get_roidb(imdb_name) File "./tools/train_faster_rcnn_alt_opt.py", line 67, in get_roidb roidb = get_training_roidb(imdb) File "/media/dl/c0d34b51-8a78-4364-bc19-35003bf01885/RCNN/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 118, in get_training_roidb imdb.append_flipped_images() File "/media/dl/c0d34b51-8a78-4364-bc19-35003bf01885/RCNN/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 106, in append_flipped_images boxes = self.roidb[i]['boxes'].copy() File "/media/dl/c0d34b51-8a78-4364-bc19-35003bf01885/RCNN/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 67, in roidb self._roidb = self.roidb_handler() File "/media/dl/c0d34b51-8a78-4364-bc19-35003bf01885/RCNN/py-faster-rcnn/tools/../lib/datasets/pascal_voc.py", line 103, in gt_roidb for index in self.image_index] File "/media/dl/c0d34b51-8a78-4364-bc19-35003bf01885/RCNN/py-faster-rcnn/tools/../lib/datasets/pascal_voc.py", line 204, in _load_pascal_annotation x1 = float(bbox.find('xmin').text) ValueError: invalid literal for float(): 737,
Hello yawadugyamfi, did you find a solution to your error? Would you share it with us please?
Never mind, I found the answer. There should be no <ymin>0</ymin>
nor <xmin>0</xmin>
in an object.
I changed that in the Annotations folder with the two commands (./ means the current folder is Annotations):
grep -rl '<ymin>0</ymin>' ./ | xargs sed -i 's#<ymin>0</ymin>#<ymin>1</ymin>#g'
and
grep -rl '<xmin>0</xmin>' ./ | xargs sed -i 's#<xmin>0</xmin>#<xmin>1</xmin>#g'
Now training is running smoothly. .
@marphil in which function you wrote those lines?
@DiegoPortoJaccottet I got sed: no input files
@marphil that worked for me!.
@DiegoPortoJaccottet your fix worked for me, thanks! The @marphil fix produces the same assertion error in my case.
@DiegoPortoJaccottet Even i got sed : no input files. I have my annotation files in that folder ( *.xml)
@harora You got 'sed: no input files' from the commands I described or from Faster-RCNN?
@moyans I get the same error with you.
y2= float(bbox.find('ymax').text) ValueError: invalid literal for float(): 196006001002176.jpg
Have you found any solution to it? Thank you
you need check this img and label.
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@moyans I get the same error with you.
y2= float(bbox.find('ymax').text) ValueError: invalid literal for float(): 196006001002176.jpg
Do you find any solution to it? Thank you
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@moyans 196006001002176.jpg is very odd. My images are usually "000000.jpg", same as VOC2007. And I have removed "-1" from the lines below x1 = float(bbox.find( 'xmin').text) y1 = float(bbox.find('ymin').text) x2 = float(bbox.find('xmax').text) y2 = float(bbox.find('ymax').text)
check the label out of range?
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@moyans 196006001002176.jpg is very odd. My images are usually "000000.jpg", same as VOC2007. And I have removed "-1" from the lines below x1 = float(get_data_from_tag(obj, 'xmin')) y1 = float(get_data_from_tag(obj, 'ymin')) x2 = float(get_data_from_tag(obj, 'xmax')) y2 = float(get_data_from_tag(obj, 'ymax'))
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in the Annotation folder I run
grep -rl '<ymin>0</ymin>' ./ | xargs sed -i 's#<ymin>0</ymin>#<ymin>1</ymin>#g'
I got: sed : no input files
just like @harora . I want to know why. @DiegoPortoJaccottet
@moyans Thanks for your help. I have solved the error. I found an error in "output.txt", i.e. 002175.jpg c 669 155 769 **196006001002176.jpg p 207 188 229 257. What puzzles me is that I cannot find error in .xml. Anyway, it is solved. Thank you again!
I replaced xmin 0 and ymin 0 with xmin 1 and ymin 1, all things resolved!
see more https://github.com/rbgirshick/py-faster-rcnn/issues/34
in the Annotation folder I run
grep -rl '<ymin>0</ymin>' ./ | xargs sed -i 's#<ymin>0</ymin>#<ymin>1</ymin>#g'
I got:sed : no input files
just like @harora . I want to know why. @DiegoPortoJaccottet
replace 0 with 0.0
I am using py-faster-rcnn to train the 2007 VOC dataset. When I run on the original 21 classes, it works fine, but when I change the original number of classes, I get an error.. I am doing this for 1 class ('person'). I made the following changes to the original codes:
file: fcn_root/models/VGG16/faster_rcnn_alt_opt.pt layer { name: "cls_score" type: "InnerProduct" bottom: "fc7" top: "cls_score" inner_product_param { num_output: 2 } }
layer { name: "bbox_pred" type: "InnerProduct" bottom: "fc7" top: "bbox_pred" inner_product_param { num_output: 8 } }
file2: fcn_root/lib/datasets/pascal_voc.py
line 28:self._classes = ('background', # always index 0 'person')
removed -1's from the lines below
VOCopts.classes={... 'person'};
I get the following error after I run this command,
./experiments/scripts/faster_rcnn_alt_opt.sh 3 VGG16 \ --set EXP_DIR foobarx
I have also attached a full trace of my program running. Error: Process Process-1: Traceback (most recent call last): File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run self._target(_self._args, *_self._kwargs) File "./tools/train_faster_rcnn_alt_opt.py", line 123, in train_rpn roidb, imdb = get_roidb(imdb_name) File "./tools/train_faster_rcnn_alt_opt.py", line 68, in get_roidb roidb = get_training_roidb(imdb) File "/home/microway/test/pytest/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 121, in get_training_roidb imdb.append_flipped_images() File "/home/microway/test/pytest/py-faster-rcnn/tools/../lib/datasets/imdb.py", line 108, in append_flipped_images assert (boxes[:, 2] >= boxes[:, 0]).all() AssertionError
error_attachment.txt