Files
FastDeploy/examples/vision/segmentation/paddleseg/semantic_segmentation/kunlunxin/python/infer.py
DefTruth af18e597d0 [Docs] rename ppseg kunlun docs -> kunlunxin (#1662)
* [Docs] rename ppseg kunlun -> kunlunxin

* [Docs] rename ppseg fastdeploy kunlun docs -> kunlunxin
2023-03-20 19:46:18 +08:00

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930 B
Python
Executable File

import fastdeploy as fd
import cv2
import os
def parse_arguments():
import argparse
import ast
parser = argparse.ArgumentParser()
parser.add_argument(
"--model", required=True, help="Path of PaddleSeg model.")
parser.add_argument(
"--image", type=str, required=True, help="Path of test image file.")
return parser.parse_args()
runtime_option = fd.RuntimeOption()
runtime_option.use_kunlunxin()
# setup runtime
model_file = os.path.join(args.model, "model.pdmodel")
params_file = os.path.join(args.model, "model.pdiparams")
config_file = os.path.join(args.model, "deploy.yaml")
model = fd.vision.segmentation.PaddleSegModel(
model_file, params_file, config_file, runtime_option=runtime_option)
# predict
im = cv2.imread(args.image)
result = model.predict(im)
print(result)
# visualize
vis_im = fd.vision.vis_segmentation(im, result, weight=0.5)
cv2.imwrite("vis_img.png", vis_im)