PaddleClas/deploy/python/ppshitu_v2/examples/test_search.py

32 lines
745 B
Python

import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(__dir__, '../')))
import cv2
from engine import build_engine
from utils import config
from utils.get_image_list import get_image_list
import numpy as np
def load_vector(path):
return np.load(path)
def main():
args = config.parse_args()
config_dict = config.get_config(
args.config, overrides=args.override, show=False)
config_dict.profiler_options = args.profiler_options
engine = build_engine(config_dict)
vector = load_vector(config_dict["Global"]["infer_imgs"])
output = engine.process({"features": vector})
print(output["search_res"])
if __name__ == '__main__':
main()