Work through most of the cspell warnings in python (#13794)

This commit is contained in:
gtsiam
2024-09-17 18:41:46 +03:00
committed by GitHub
parent 350abda21a
commit edababa88e
20 changed files with 208 additions and 66 deletions

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@@ -129,10 +129,10 @@ class OvDetector(DetectionApi):
strides = [8, 16, 32]
hsizes = [self.h // stride for stride in strides]
wsizes = [self.w // stride for stride in strides]
hsize_list = [self.h // stride for stride in strides]
wsize_list = [self.w // stride for stride in strides]
for hsize, wsize, stride in zip(hsizes, wsizes, strides):
for hsize, wsize, stride in zip(hsize_list, wsize_list, strides):
xv, yv = np.meshgrid(np.arange(wsize), np.arange(hsize))
grid = np.stack((xv, yv), 2).reshape(1, -1, 2)
grids.append(grid)
@@ -216,10 +216,12 @@ class OvDetector(DetectionApi):
conf_mask = (image_pred[:, 4] * class_conf.squeeze() >= 0.3).squeeze()
# Detections ordered as (x1, y1, x2, y2, obj_conf, class_conf, class_pred)
dets = np.concatenate((image_pred[:, :5], class_conf, class_pred), axis=1)
dets = dets[conf_mask]
detections = np.concatenate(
(image_pred[:, :5], class_conf, class_pred), axis=1
)
detections = detections[conf_mask]
ordered = dets[dets[:, 5].argsort()[::-1]][:20]
ordered = detections[detections[:, 5].argsort()[::-1]][:20]
for i, object_detected in enumerate(ordered):
detections[i] = self.process_yolo(