int8.rt unable to generate #253

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opened 2021-08-13 16:32:07 +02:00 by B1ackg0d · 3 comments
B1ackg0d commented 2021-08-13 16:32:07 +02:00 (Migrated from github.com)

I want to get yolo4tiny_int8.rt or other version of yolo4's int8.rt. I use test_all_tests.sh, but an error is reported.
Can I ask a favour?Thanks in advance.

failed to open ../demo/COCO_val2017/all_images.txt
..\src\Int8BatchStream.cpp:69
Aborting...
unable to read serialRT file
..\tests\test_rtinference\rtinference.cpp:9
Aborting...
I want to get yolo4tiny_int8.rt or other version of yolo4's int8.rt. I use test_all_tests.sh, but an error is reported. Can I ask a favour?Thanks in advance. ``` failed to open ../demo/COCO_val2017/all_images.txt ..\src\Int8BatchStream.cpp:69 Aborting... unable to read serialRT file ..\tests\test_rtinference\rtinference.cpp:9 Aborting... ```
perseusdg commented 2021-08-13 16:48:01 +02:00 (Migrated from github.com)

Did you download COCO_val2017/BDD dataset using either the download_validation.sh(for linux) or download_validation,py(for windows) before running test_all_tests.sh ,also I would recommend against doing this as it will take a considerable amount of time to complete (as it has to download all weights and generate the RT file for each and everyone of them) ,it might be better to follow the INT8 method mentioned in the docs

Did you download COCO_val2017/BDD dataset using either the download_validation.sh(for linux) or download_validation,py(for windows) before running test_all_tests.sh ,also I would recommend against doing this as it will take a considerable amount of time to complete (as it has to download all weights and generate the RT file for each and everyone of them) ,it might be better to follow the INT8 method mentioned in the docs
B1ackg0d commented 2021-08-13 17:13:50 +02:00 (Migrated from github.com)

I get it.Thx!

I get it.Thx!
B1ackg0d commented 2021-08-13 18:10:11 +02:00 (Migrated from github.com)

download_validation.py is so slow, is there any better way?

download_validation.py is so slow, is there any better way?
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Reference: mmr/tkDNN#253