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117e206 | 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 | from pathlib import Path
from surg_seg.Utils.ImageSubscriber import ImageSubscriber
import cv2
import torch
import numpy as np
from monai.visualize.utils import blend_images
from surg_seg.Networks.Models import FlexibleUnet1InferencePipe
from surg_seg.Datasets.ImageDataset import ImageTransforms
def main():
image_saver = ImageSubscriber()
device = "cuda"
path_to_weights = Path("./assets/weights/myweights_3d_med_2_all_ds3/myweights.pt")
model_pipe = FlexibleUnet1InferencePipe(path_to_weights, device, out_channels=5)
while True:
frame = image_saver.get_current_frame("left")
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
input_tensor, inferred_single_ch = model_pipe.infer(frame)
inferred_single_ch = inferred_single_ch.detach().cpu()
input_tensor = input_tensor.detach().cpu()[0]
blended = blend_images(input_tensor, inferred_single_ch, cmap="viridis", alpha=0.8).numpy()
blended = (np.transpose(blended, (1, 2, 0)) * 254).astype(np.uint8)
blended = cv2.cvtColor(blended, cv2.COLOR_RGB2BGR)
cv2.imshow("image", blended)
if cv2.waitKey(30) & 0xFF == ord("q"):
cv2.destroyAllWindows()
break
if __name__ == "__main__":
with torch.no_grad():
main()
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