Created
July 7, 2020 01:42
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import cv2, copy | |
import seaborn as sns | |
def draw_boxes(image, boxes, labels, obj_baseline=0.05,verbose=False): | |
''' | |
image : np.array of shape (N height, N width, 3) | |
''' | |
def adjust_minmax(c,_max): | |
if c < 0: | |
c = 0 | |
if c > _max: | |
c = _max | |
return c | |
image = copy.deepcopy(image) | |
image_h, image_w, _ = image.shape | |
score_rescaled = np.array([box.get_score() for box in boxes]) | |
score_rescaled /= obj_baseline | |
colors = sns.color_palette("husl", 8) | |
for sr, box,color in zip(score_rescaled,boxes, colors): | |
xmin = adjust_minmax(int(box.xmin*image_w),image_w) | |
ymin = adjust_minmax(int(box.ymin*image_h),image_h) | |
xmax = adjust_minmax(int(box.xmax*image_w),image_w) | |
ymax = adjust_minmax(int(box.ymax*image_h),image_h) | |
text = "{:10} {:4.3f}".format(labels[box.label], box.get_score()) | |
if verbose: | |
print("{} xmin={:4.0f},ymin={:4.0f},xmax={:4.0f},ymax={:4.0f}".format(text,xmin,ymin,xmax,ymax,text)) | |
cv2.rectangle(image, | |
pt1=(xmin,ymin), | |
pt2=(xmax,ymax), | |
color=color, | |
thickness=sr) | |
cv2.putText(img = image, | |
text = text, | |
org = (xmin+ 13, ymin + 13), | |
fontFace = cv2.FONT_HERSHEY_SIMPLEX, | |
fontScale = 1e-3 * image_h, | |
color = (1, 0, 1), | |
thickness = 1) | |
return image | |
print("Plot with low object threshold") | |
ima = draw_boxes(X_test[0],boxes_tiny_threshold,LABELS,verbose=True) | |
figsize = (15,15) | |
plt.figure(figsize=figsize) | |
plt.imshow(ima); | |
plt.title("Plot with low object threshold") | |
plt.show() | |
print("Plot with high object threshold") | |
ima = draw_boxes(X_test[0],boxes,LABELS,verbose=True) | |
figsize = (15,15) | |
plt.figure(figsize=figsize) | |
plt.imshow(ima); | |
plt.title("Plot with high object threshold") | |
plt.show() |
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