Best Python code snippet using autotest_python
utils.py
Source:utils.py
1import cv22import numpy as np3import torchvision4import torch5def segment(model, x):6 model = model.eval()7 x = cv2.resize(x, (512, 1024))8 x = torchvision.transforms.ToTensor()(x).unsqueeze(0)9 with torch.no_grad():10 x = model(x)11 mask = x[0, 0]12 height = x[0, 1]13 mask = (mask > 0).numpy().astype(np.uint8, copy=False) * 25514 height = height.numpy()15 np.exp(height, out=height)16 height = np.rint(height)17 height = height.astype(np.int, copy=False)18 return mask, height19def detect_lines(x, hmap, im_size):20 fx = im_size[1] / x.shape[1]21 fy = im_size[0] / x.shape[0]22 connect_kernel = np.ones((1, 30 + 1), dtype=np.uint8)23 remove_kernel = np.ones((1, 10 + 1), dtype=np.uint8)24 cv2.dilate(x, connect_kernel, x)25 cv2.erode(x, connect_kernel, x)26 # remove short lines27 cv2.erode(x, remove_kernel, x)28 cv2.dilate(x, remove_kernel, x)29 num_line, segment_lines = cv2.connectedComponents(x)30 boxes = []31 for c in range(num_line):32 line = segment_lines == c33 x = np.sum(line, axis=0)34 x = np.nonzero(x)[0]35 x1, x2 = x[0], x[-1]36 y = np.argmax(line, axis=0)37 y2 = max(y[x1], y[x2])38 h = np.mean(hmap[line])39 h = h + abs(y[x1] - y[x2])40 y1 = max(y2 - h, 0)41 if y2 == 0:42 continue43 boxes.append([44 (int(round(x1*fx)), int(round(y1*fy))),45 (int(round(x2*fx)), int(round(y2*fy)))46 ])...
rm_kernel.py
Source:rm_kernel.py
...24 # console init25 console = Console()26 # load config27 config = Config()...
main.py
Source:main.py
...9 return {"free":"NO_MACHINE"}10 item=[free_list[0]]11 print("item is")12 print(item)13 remove_kernel(item[0].split(":")[0],item[0].split(":")[1],item[0].split(":")[2],item[0].split(":")[3])14 return {"free":item}15@app.route("/service_registry/get_service_location/<service>")16def get_service_location(service):17 return {"location":service_registry[service]};18def remove_kernel(ip,username,password,port):19 free_list.remove(str(ip)+":"+str(username)+":"+str(password)+":"+str(port));20if __name__ == "__main__": # on running python app.py...
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