File size: 2,095 Bytes
4dca198 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | #!/usr/bin/env python3
"""Single-image FFA-Net axmodel inference."""
import argparse
import sys
from pathlib import Path
import numpy as np
import axengine as axe
from PIL import Image
FILE = Path(__file__).resolve()
NET_DIR = FILE.parent
ROOT_DIR = NET_DIR.parent
sys.path.insert(0, str(NET_DIR))
def parse_args():
parser = argparse.ArgumentParser(description="FFA-Net axmodel single-image inference.")
parser.add_argument("--axmodel", default='./FFANet.axmodel', help="axmodel model path.")
parser.add_argument("--input", default='outdoor_natural/nh(4).jpg', help="Path to input hazy image.")
parser.add_argument("--output", default="axmodel_result.png", help="Output image path.")
parser.add_argument("--height", type=int, default=512, help="axmodel input height.")
parser.add_argument("--width", type=int, default=512, help="axmodel input width.")
return parser.parse_args()
# MEAN = np.array([0.64, 0.6, 0.58], dtype=np.float32).reshape(3, 1, 1)
# STD = np.array([0.14, 0.15, 0.152], dtype=np.float32).reshape(3, 1, 1)
def preprocess(image_path, height, width):
image = Image.open(image_path).convert("RGB")
image = image.resize((width, height), Image.BICUBIC)
arr = np.asarray(image).astype(np.float32)
arr = arr.transpose(2, 0, 1)
# arr = (arr - MEAN) / STD # 训练同款归一化
return arr[None, ...].astype(np.uint8)
def postprocess(output):
arr = np.squeeze(output, axis=0).transpose(1, 2, 0)
arr = np.clip(arr, 0.0, 1.0)
return Image.fromarray((arr * 255.0 + 0.5).astype(np.uint8))
def main():
args = parse_args()
inp = preprocess(args.input, args.height, args.width)
session = axe.InferenceSession(args.axmodel, providers=["AxEngineExecutionProvider"])
input_name = session.get_inputs()[0].name
out = session.run(None, {input_name: inp})[0]
output_path = Path(args.output)
output_path.parent.mkdir(parents=True, exist_ok=True)
result = postprocess(out)
result.save(str(output_path))
print(f"Saved: {output_path}")
if __name__ == "__main__":
main()
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