Merge pull request #24397 from richard28039:add_fcnresnet101_to_dnn_sample

Added PyTorch fcnresnet101 segmentation conversion cases #24397

We write a sample code about transforming Pytorch fcnresnet101 to ONNX running on OpenCV.

The input source image was shooted by ourself.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
pull/23190/merge
richard28039 1 year ago committed by GitHub
parent fa56623458
commit e95c0055af
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  1. 12
      samples/dnn/models.yml
  2. 2
      samples/dnn/segmentation.py

@ -178,3 +178,15 @@ fcn8s:
height: 500
rgb: false
sample: "segmentation"
fcnresnet101:
load_info:
url: "https://github.com/onnx/models/raw/fb8271d5d5d9b90dbb1eb5e8e40f8f580fb248b3/vision/object_detection_segmentation/fcn/model/fcn-resnet101-11.onnx"
sha1: "e7e76474bf6b73334ab32c4be1374c9e605f5aed"
model: "fcn-resnet101-11.onnx"
mean: [103.5, 116.2, 123.6]
scale: 0.019
width: 500
height: 500
rgb: false
sample: "segmentation"

@ -14,7 +14,7 @@ parser = argparse.ArgumentParser(add_help=False)
parser.add_argument('--zoo', default=os.path.join(os.path.dirname(os.path.abspath(__file__)), 'models.yml'),
help='An optional path to file with preprocessing parameters.')
parser.add_argument('--input', help='Path to input image or video file. Skip this argument to capture frames from a camera.')
parser.add_argument('--framework', choices=['caffe', 'tensorflow', 'torch', 'darknet'],
parser.add_argument('--framework', choices=['caffe', 'tensorflow', 'torch', 'darknet', 'onnx'],
help='Optional name of an origin framework of the model. '
'Detect it automatically if it does not set.')
parser.add_argument('--colors', help='Optional path to a text file with colors for an every class. '

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