mmdeploy/demo/python/image_segmentation.py
Chen Xin 1f56eea807 [Feature] Support feature map output for mmsegmentation (#1625)
* add feature map output for mmseg

* update api

* update demo

* fix return

* update format_shape

* fix lint

* update csharp demo

* update python demo && api

* fix coreml build

* fix lint

* better sort

* update

* update cpp demo & add missing header

* change to CHW

* update csharp api

* update isort version to 5.12.0

* fix python api

* fix log

* more detail api docs

* isort support python3.7

* remove isort change

* remove whitespace

* axes check

* remove FormatShapeImpl

* minor

* add permute tc

* remove stride buffer

(cherry picked from commit b85f34141b61ad0d70897cc6dcfef38928b673fb)
2023-02-07 21:04:20 +08:00

55 lines
1.4 KiB
Python

# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import cv2
import numpy as np
from mmdeploy_python import Segmentor
def parse_args():
parser = argparse.ArgumentParser(
description='show how to use sdk python api')
parser.add_argument('device_name', help='name of device, cuda or cpu')
parser.add_argument(
'model_path',
help='path of mmdeploy SDK model dumped by model converter')
parser.add_argument('image_path', help='path of an image')
args = parser.parse_args()
return args
def get_palette(num_classes=256):
state = np.random.get_state()
# random color
np.random.seed(42)
palette = np.random.randint(0, 256, size=(num_classes, 3))
np.random.set_state(state)
return [tuple(c) for c in palette]
def main():
args = parse_args()
img = cv2.imread(args.image_path)
segmentor = Segmentor(
model_path=args.model_path, device_name=args.device_name, device_id=0)
seg = segmentor(img)
if seg.dtype == np.float32:
seg = np.argmax(seg, axis=0)
palette = get_palette()
color_seg = np.zeros((seg.shape[0], seg.shape[1], 3), dtype=np.uint8)
for label, color in enumerate(palette):
color_seg[seg == label, :] = color
# convert to BGR
color_seg = color_seg[..., ::-1]
img = img * 0.5 + color_seg * 0.5
img = img.astype(np.uint8)
cv2.imwrite('output_segmentation.png', img)
if __name__ == '__main__':
main()