mmr/tkDNN
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Merge with master

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Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com>
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Micaela Verucchi
2020-02-27 17:41:26 +01:00
parent 6911752e3e 443691414a
commit fe37bcdf1e
41 changed files with 2179 additions and 851 deletions
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README.md
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@@ -11,7 +11,7 @@ this branch actually work on every NVIDIA GPU that support the dependencies:
## Dependencies
```
sudo apt install libgdal-dev libeigen3-dev python-matplotlib libyaml-cpp-dev libcereal-dev
sudo apt install libgdal-dev libeigen3-dev python-matplotlib libyaml-cpp-dev libcereal-dev python2.7-dev
```
## Workflow
@@ -27,6 +27,7 @@ Build with cmake
mkdir build
cd build
cmake ..
# use -DTEST_DATA=False to skip dataset download
make
```
during the cmake configuration it will be dowloaded the weights needed for running
@@ -54,5 +55,4 @@ this will genereate a yolo3_berkeley.rt file that can be used for live detection
./yolo3_demo # launch detection on a demo video
./yolo3_demo yolo3_berkeley.rt /dev/video0 # launch detection on device 0
```
![demo](https://user-images.githubusercontent.com/11562617/72547657-540e7800-388d-11ea-83c6-49dfea2a0607.gif)