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Currently, we are using double precision. Consider having the option of:
1. exporting multiple precisions
2. specify the precision via preprocessor flag
For 2, I usually would do something like t…
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Hi,
I've added the no compressed rule and it works fine, the receivers receives fragments and do reassembly, then call the decompression which remove the nocompression rule ID
but then, the pack…
ltn22 updated
4 years ago
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Because the structure of the RFCN and light-head rcnn is pretty similar, I just tried to implement the light-head rcnn by modifying the py-R-FCN on caffe.
I only changed the prototxt file for trai…
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idk what's going on yet. perhaps it can be debugged by looping the test?
tests.exceptions_test ExceptionsTest.test_exception_after_iteration_not_returned
Traceback (most recent call last):
File "/n…
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Hello,
Trying to train Detectron1 Mask R-CNN with R-50-FPN backbone at regular **1333x800** resolution but higher segmentation masks resolution, higher than **28**. Training at defaults works fine,…
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When are you going to implement support for SCoA printers?
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status NEEDINFO severity *normal* in component *general* for *---*
Reported in version *1.8.11* on platform *Other*
Assigned to: Dimitri van Heesch
Original attachment names and IDs:
- _[DoxyTestFunc…
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I stumbled upon this issue when trying to convert a custom trained Mask R-CNN model with attached Keypoint head using the R50-DC5 backbone to onnx format.
At first I thought my model is the issue but…