[Application] Update yolo v2 model similar to original model
authorSeungbaek Hong <sb92.hong@samsung.com>
Thu, 30 Mar 2023 10:32:01 +0000 (19:32 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Tue, 30 May 2023 01:55:51 +0000 (10:55 +0900)
commit71221e6088bd0650f6f15cc42489058332f2417b
tree7c7055089825fabcdc455e59f266d4fcce7d737b
parent1444dad22522083a9340182ed699dc42366fe53f
[Application] Update yolo v2 model similar to original model

Yolo v2 model was updated similar to original yolo v2 model.

This model was intended to be implemented in accordance with
the original paper of Yolo v2 as much as possible,
but now average pooling is temporarily used instead of the
re-organization module.

If only the average pooling is replaced with the re-organization
module in the future, the rest is the same as the original paper
in Yolo v2.

Both the PyTorch version and the NNTrainer version updated the model
structure and verified that the same results could be obtained
by loading trained weights from PyTorch.

**Self evaluation:**
1. Build test:  [X]Passed [ ]Failed [ ]Skipped
2. Run test:  [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Seungbaek Hong <sb92.hong@samsung.com>
Applications/YOLO/PyTorch/main.py
Applications/YOLO/PyTorch/yolo.py
Applications/YOLO/jni/main.cpp