Comments (9)
Not *.zip but *.jpg. And you also need create a folder named annotations which should contains instance_train/val{}.json for your training and testing in the coco dir.
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the following is my structure according to the document
+CornerNet-Lite
+data
+coco
+images
+trainval2014
+ *.jpg
+minival2014
+ *.jpg
+testdev2017
+ *.jpg
+annotations
-instances_trainval2014.json
-instances_minival2014.json
-instances_testdev2017.json
but I met the same problem.
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i met the same issue,how to solve it? thanks
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The reason why you meet this issue is that your model can't read the image successful. So carefully check the xxx.py in core/dbs. The original repo has no bug with that problem and I also successfully train the CornerNet-Lite on my own dataset. The only drawback is that the training speed is so slow :<
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i met the same issue,how to solve it? thanks
do you hava solve it? i met the same issue.my structure is like yours.
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do you hava solve it?
from cornernet-lite.
I had the same problem, and found the workaround of it.
- trainval2014 <- jpgs from train2014.zip + val2014.zip
- minival2014 <- jpgs from val2014.zip
- testdev2017 <- jpgs from test2017.zip
from cornernet-lite.
Hi all, I met the same problem here. I only modified the gpu number and the rest of the codes are not touched.
It seems that the code is combining wrong pairs of directory and image image. For example, combining test directory with val image name, resulting in a wrong image file path.
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I need help.I also meet this problem. Trying all the suggestions above,I can not get the true. ''NoneType' object has no attribute 'shape'' is being here whatever i do.
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Related Issues (20)
- Using a data set with only one category, Loss dropped to 0.003, but when testing, ap = -1 HOT 1
- AttributeError: 'builtin_function_or_method' object has no attribute 'view' HOT 1
- ModuleNotFoundError: No module named 'core' HOT 3
- Has anyone use another backbone networks to test the performance?
- About "add downsampling lyaer before the hourglass module and remove one in hourglass modue" HOT 1
- train error
- When I testing my own data, occur No module named 'test.xxx'
- The network architecture of CornerNet-Saccade
- Can not create the envs on the first step, list many config package when created from file conda_packagelist.txt Please help me!! HOT 1
- Duplicated boxes during soft_nms HOT 1
- some training issue HOT 1
- some questions about the structure of cornerNet-saccade HOT 1
- when run the demo.py, the program is stuck
- 0%| | 0/90000 [00:00<?, ?it/s]段错误(吐核)
- ImportError undefined symbol: _ZNSt19basic_ostringstreamIcSt11char_traitsIcESaIcEEC1Ev HOT 1
- When I train the model on my own dataset, I met IndexError in cornernet_saccade.py HOT 1
- error while tarining on my new dataset which has same COCO format HOT 1
- A small running error
- About the software requirements HOT 1
- [W Resize.cpp:19] Warning: An output with one or more elements was resized since it had shape [16263], which does not match the required output shape [14926].This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output) HOT 1
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