Commit 26a21e1

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Merge pull request avinashkranjan#2953 from avinashkranjan/deepsource-transform-4b48d65c

format code with autopep8

2 parents b7d7f1e + c79c97a commit 26a21e1Copy full SHA for 26a21e1

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Lines changed: 5 additions & 5 deletions

Original file line number	Diff line number	Diff line change
`@@ -19,8 +19,8 @@`
`19`	`19`
`20`	`20`	`height, width, _ = frame.shape`
`21`	`21`
`22`		`-`
`23`		`- blob=cv2.dnn.blobFromImage(frame, 0.00392, (416, 416), (0, 0, 0), True, crop=False)`
	`22`	`+ blob=cv2.dnn.blobFromImage(`
	`23`	`+ frame, 0.00392, (416, 416), (0, 0, 0), True, crop=False)`
`24`	`24`	`yolo_net.setInput(blob)`
`25`	`25`
`26`	`26`	`layer_names = yolo_net.getUnconnectedOutLayersNames()`
`@@ -32,7 +32,7 @@`
`32`	`32`
`33`	`33`	`class_id = np.argmax(scores)`
`34`	`34`	`confidence = scores[class_id]`
`35`		`- if confidence > 0.5 and class_id == 2:`
	`35`	`+ if confidence > 0.5 and class_id == 2:`
`36`	`36`	`center_x = int(detection[0] * width)`
`37`	`37`
`38`	`38`	`center_y = int(detection[1] * height)`
`@@ -42,9 +42,9 @@`
`42`	`42`
`43`	`43`	`x = int(center_x - bbox_width / 2)`
`44`	`44`	`y = int(center_y - bbox_height / 2)`
`45`		`- cv2.rectangle(frame, (x, y), (x + bbox_width, y + bbox_height), (0, 255, 0), 2)`
	`45`	`+ cv2.rectangle(frame, (x, y), (x + bbox_width,`
	`46`	`+ y + bbox_height), (0, 255, 0), 2)`
`46`	`47`
`47`		`-`
`48`	`48`	`resized_frame = cv2.resize(frame, (720, 480))`
`49`	`49`
`50`	`50`	`cv2.imshow('Car Tracking', frame)`

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