Python cv2.getTextSize方法代碼示例

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def drawBoundingBox(self,imgcv,result):
        for box in result:
            # print(box)
            x1,y1,x2,y2 = (box['topleft']['x'],box['topleft']['y'],box['bottomright']['x'],box['bottomright']['y'])
            conf = box['confidence']
            # print(conf)
            label = box['label']
            if conf < self.predictThresh:
                continue
            # print(x1,y1,x2,y2,conf,label)
            cv2.rectangle(imgcv,(x1,y1),(x2,y2),(0,255,0),6)
            labelSize=cv2.getTextSize(label,cv2.FONT_HERSHEY_COMPLEX,0.5,2)
            # print('labelSize>>',labelSize)
            _x1 = x1
            _y1 = y1#+int(labelSize[0][1]/2)
            _x2 = _x1+labelSize[0][0]
            _y2 = y1-int(labelSize[0][1])
            cv2.rectangle(imgcv,(_x1,_y1),(_x2,_y2),(0,255,0),cv2.FILLED)
            cv2.putText(imgcv,label,(x1,y1),cv2.FONT_HERSHEY_COMPLEX,0.5,(0,0,0),1)
        return imgcv 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def draw_boxes_frame(frame, frame_size, boxes_dicts, class_names, input_size):
  """Draws detected boxes in a video frame"""
  boxes_dict = boxes_dicts[0]
  resize_factor = (frame_size[0] / input_size[1], frame_size[1] / input_size[0])
  for cls in range(len(class_names)):
    boxes = boxes_dict[cls]
    color = (0, 0, 255)
    if np.size(boxes) != 0:
      for box in boxes:
        xy = box[:4]
        xy = [int(xy[i] * resize_factor[i % 2]) for i in range(4)]
        cv2.rectangle(frame, (xy[0], xy[1]), (xy[2], xy[3]), color[::-1], 2)
        (test_width, text_height), baseline = cv2.getTextSize(class_names[cls],
                                                              cv2.FONT_HERSHEY_SIMPLEX,
                                                              0.75, 1)
        cv2.rectangle(frame,
                      (xy[0], xy[1]),
                      (xy[0] + test_width, xy[1] - text_height - baseline),
                      color[::-1],
                      thickness=cv2.FILLED)
        cv2.putText(frame, class_names[cls], (xy[0], xy[1] - baseline), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 0), 1) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def drawBoundingBox(self,imgcv,result):
        #finding max val
        self.predictThresh=max([box['confidence'] for box in result])
        for box in result:
            # print(box)
            x1,y1,x2,y2 = (box['topleft']['x'],box['topleft']['y'],box['bottomright']['x'],box['bottomright']['y'])
            conf = box['confidence']
            # print(conf)
            label = box['label']
            print("label",label,"confidence",conf)
            if conf < self.predictThresh:
                continue
            # print(x1,y1,x2,y2,conf,label)
            cv2.rectangle(imgcv,(x1,y1),(x2,y2),(0,255,0),6)
            labelSize=cv2.getTextSize(label,cv2.FONT_HERSHEY_COMPLEX,0.5,2)
            # print('labelSize>>',labelSize)
            _x1 = x1
            _y1 = y1#+int(labelSize[0][1]/2)
            _x2 = _x1+labelSize[0][0]
            _y2 = y1-int(labelSize[0][1])
            cv2.rectangle(imgcv,(_x1,_y1),(_x2,_y2),(0,255,0),cv2.FILLED)
            cv2.putText(imgcv,label,(x1,y1),cv2.FONT_HERSHEY_COMPLEX,0.5,(0,0,0),1)
        return imgcv 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def vis_class(img, pos, class_str, bg_color):
    """Visualizes the class."""
    font_color = cfg.VIS.SHOW_CLASS.COLOR
    font_scale = cfg.VIS.SHOW_CLASS.FONT_SCALE

    x0, y0 = int(pos[0]), int(pos[1])
    # Compute text size.
    txt = class_str
    font = cv2.FONT_HERSHEY_SIMPLEX
    ((txt_w, txt_h), _) = cv2.getTextSize(txt, font, font_scale, 1)
    # Place text background.
    back_tl = x0, y0 - int(1.3 * txt_h)
    back_br = x0 + txt_w, y0
    cv2.rectangle(img, back_tl, back_br, bg_color, -1)
    # Show text.
    txt_tl = x0, y0 - int(0.3 * txt_h)
    cv2.putText(img, txt, txt_tl, font, font_scale, font_color, lineType=cv2.LINE_AA)

    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def create_text_mask(text, font_face=cv2.FONT_HERSHEY_SIMPLEX, font_scale=2, thickness=2):
    """Build a binary image with text drawn in it"""
    color = [1]

    (w, h), _ = cv2.getTextSize(
        text, fontFace=font_face, fontScale=font_scale, thickness=thickness
    )
    border = 30
    dst = np.zeros((h + border, w + border), dtype='uint8')
    cv2.putText(
        dst, text=text, org=(border // 2, h + border // 2),
        fontFace=font_face, fontScale=font_scale,
        thickness=thickness, color=color
    )

    ymask = dst.any(1).cumsum()
    ymask = (ymask != 0) & (ymask != ymask[-1])
    xmask = dst.any(0).cumsum()
    xmask = (xmask != 0) & (xmask != xmask[-1])
    dst = dst[ymask][:, xmask]

    return dst.astype(bool) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def draw_bboxes(img, bbox, identities=None, offset=(0,0)):
    for i,box in enumerate(bbox):
        x1,y1,x2,y2 = [int(i) for i in box]
        x1 += offset[0]
        x2 += offset[0]
        y1 += offset[1]
        y2 += offset[1]
        # box text and bar
        id = int(identities[i]) if identities is not None else 0    
        color = COLORS_10[id%len(COLORS_10)]
        label = '{} {}'.format("object", id)
        t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2 , 2)[0]
        cv2.rectangle(img,(x1, y1),(x2,y2),color,3)
        cv2.rectangle(img,(x1, y1),(x1+t_size[0]+3,y1+t_size[1]+4), color,-1)
        cv2.putText(img,label,(x1,y1+t_size[1]+4), cv2.FONT_HERSHEY_PLAIN, 2, [255,255,255], 2)
    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def add_coco_bbox(self, bbox, cat, conf=1, show_txt=True, img_id='default'): 
        bbox = np.array(bbox, dtype=np.int32)
        # cat = (int(cat) + 1) % 80
        cat = int(cat)
        # print('cat', cat, self.names[cat])
        c = self.colors[cat][0][0].tolist()
        if self.theme == 'white':
            c = (255 - np.array(c)).tolist()
        txt = '{}{:.1f}'.format(self.names[cat], conf)
        font = cv2.FONT_HERSHEY_SIMPLEX
        cat_size = cv2.getTextSize(txt, font, 0.5, 2)[0]
        cv2.rectangle(
          self.imgs[img_id], (bbox[0], bbox[1]), (bbox[2], bbox[3]), c, 2)
        if show_txt:
            cv2.rectangle(self.imgs[img_id],
                        (bbox[0], bbox[1] - cat_size[1] - 2),
                        (bbox[0] + cat_size[0], bbox[1] - 2), c, -1)
            cv2.putText(self.imgs[img_id], txt, (bbox[0], bbox[1] - 2), 
                      font, 0.5, (0, 0, 0), thickness=1, lineType=cv2.LINE_AA) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def vis_class(img, pos, class_str, font_scale=0.35):
    """Visualizes the class."""
    img = img.astype(np.uint8)
    x0, y0 = int(pos[0]), int(pos[1])
    # Compute text size.
    txt = class_str
    font = cv2.FONT_HERSHEY_SIMPLEX
    ((txt_w, txt_h), _) = cv2.getTextSize(txt, font, font_scale, 1)
    # Place text background.
    back_tl = x0, y0 - int(1.3 * txt_h)
    back_br = x0 + txt_w, y0
    cv2.rectangle(img, back_tl, back_br, _GREEN, -1)
    # Show text.
    txt_tl = x0, y0 - int(0.3 * txt_h)
    cv2.putText(img, txt, txt_tl, font, font_scale, _GRAY, lineType=cv2.LINE_AA)
    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def drawPred(frame,classId, conf, left, top, right, bottom):
    # Draw a bounding box.
    cv.rectangle(frame, (left, top), (right, bottom), (255, 178, 50), 3)
    
    label = '%.2f' % conf
        
    # Get the label for the class name and its confidence
    if classes:
        assert(classId < len(classes))
        label = '%s:%s' % (classes[classId], label)

    #Display the label at the top of the bounding box
    labelSize, baseLine = cv.getTextSize(label, cv.FONT_HERSHEY_SIMPLEX, 0.5, 1)
    top = max(top, labelSize[1])
    #cv.rectangle(frame, (left, top - round(1.5*labelSize[1])), (left + round(1.5*labelSize[0]), top + baseLine), (255, 255, 255), cv.FILLED)
    cv.putText(frame, label, (left, top), cv.FONT_HERSHEY_SIMPLEX, 0.75, (0,0,0), 1)

# Remove the bounding boxes with low confidence using non-maxima suppression 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def vis_detections(img, class_name,c ,  dets, thresh=0.8):
    for i in range(np.minimum(10, dets.shape[0])):
        bbox = tuple(int(np.round(x)) for x in dets[i, :4])
        score = dets[i, -1]
        if score < thresh:
            continue



        txt = '{}:{:.2f}'.format( class_name,score)
        font = cv2.FONT_HERSHEY_SIMPLEX
        cat_size = cv2.getTextSize(txt, font, 0.5, 2)[0]
        cv2.rectangle(
            img, (bbox[0], bbox[1]), (bbox[2], bbox[3]), c, 2)

        cv2.rectangle(img,
                      (bbox[0], bbox[1] - cat_size[1] - 2),
                      (bbox[0] + cat_size[0], bbox[1] - 2), c, -1)
        cv2.putText(img, txt, (bbox[0], bbox[1] - 2),
                    font, 0.5, (0, 0, 0), thickness=1, lineType=cv2.LINE_AA) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def vis_class(img, pos, class_str, font_scale=0.35):
    """Visualizes the class."""
    img = img.astype(np.uint8)
    x0, y0 = int(pos[0]), int(pos[1])
    # Compute text size.
    txt = class_str
    font = cv2.FONT_HERSHEY_SIMPLEX
    ((txt_w, txt_h), _) = cv2.getTextSize(txt, font, font_scale, 1)
    # Place text background.
    if y0 - int(1.3 * txt_h) < 0:
      y0 = y0 + int(1.6 * txt_h)
    back_tl = x0, y0 - int(1.3 * txt_h)
    back_br = x0 + txt_w, y0
    cv2.rectangle(img, back_tl, back_br, _GREEN, -1)
    # cv2.rectangle(img, back_tl, back_br, _GRAY, -1)
    # Show text.
    txt_tl = x0, y0 - int(0.3 * txt_h)
    cv2.putText(img, txt, txt_tl, font, font_scale, _GRAY, lineType=cv2.LINE_AA)
    # cv2.putText(img, txt, txt_tl, font, font_scale, (46, 52, 54), lineType=cv2.LINE_AA)
    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def draw_result(image, confidences, faceboxes):
    """Draw the detection result on image"""
    for result in zip(confidences, faceboxes):
        conf = result[0]
        facebox = result[1]

        cv.rectangle(image, (facebox[0], facebox[1]),
                     (facebox[2], facebox[3]), (0, 255, 0))
        label = "face: %.4f" % conf
        label_size, base_line = cv.getTextSize(
            label, cv.FONT_HERSHEY_SIMPLEX, 0.5, 1)

        cv.rectangle(image, (facebox[0], facebox[1] - label_size[1]),
                     (facebox[0] + label_size[0],
                      facebox[1] + base_line),
                     (0, 255, 0), cv.FILLED)
        cv.putText(image, label, (facebox[0], facebox[1]),
                   cv.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0)) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def write(x, batches, results):
        c1 = tuple(x[1:3].int())
        c2 = tuple(x[3:5].int())
        img = results[int(x[0])]
        cls = int(x[-1])
        label = "{0}".format(classes[cls])
        color = random.choice(colors)
        cv2.rectangle(img, c1, c2,color, 1)
        t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 1 , 1)[0]
        c2 = c1[0] + t_size[0] + 3, c1[1] + t_size[1] + 4
        
        cv2.rectangle(img, c1, c2,color, -1)
        cv2.putText(img, label, (c1[0], c1[1] + t_size[1] + 4), cv2.FONT_HERSHEY_PLAIN, 1, [225,255,255], 1)
        cv2.imshow("res", img)
        cv2.waitKey(0)
        #cv2.imwrite("",cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
        return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def add_coco_bbox(self, bbox, cat, conf=1, show_txt=True, img_id='default'):
    bbox = np.array(bbox, dtype=np.int32)
    # cat = (int(cat) + 1) % 80
    cat = int(cat)
    # print('cat', cat, self.names[cat])
    c = self.colors[cat][0][0].tolist()
    if self.theme == 'white':
      c = (255 - np.array(c)).tolist()
    txt = '{}{:.1f}'.format(self.names[cat], conf)
    font = cv2.FONT_HERSHEY_SIMPLEX
    cat_size = cv2.getTextSize(txt, font, 0.5, 2)[0]
    cv2.rectangle(
      self.imgs[img_id], (bbox[0], bbox[1]), (bbox[2], bbox[3]), c, 2)
    if show_txt:
      cv2.rectangle(self.imgs[img_id],
                    (bbox[0], bbox[1] - cat_size[1] - 2),
                    (bbox[0] + cat_size[0], bbox[1] - 2), c, -1)
      cv2.putText(self.imgs[img_id], txt, (bbox[0], bbox[1] - 2),
                  font, 0.5, (0, 0, 0), thickness=1, lineType=cv2.LINE_AA) 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import getTextSize [as 別名]
def draw_boxes(img, output, offset=(0, 0)):
        for i, box in enumerate(output):
            x1, y1, x2, y2, identity = [int(ii) for ii in box]
            x1 += offset[0]
            x2 += offset[0]
            y1 += offset[1]
            y2 += offset[1]

            # box text and bar
            color = compute_color_for_labels(identity)
            label = '{}{:d}'.format("", identity)
            t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2, 2)[0]
            cv2.rectangle(img, (x1, y1), (x2, y2), color, 3)
            cv2.rectangle(img, (x1, y1), (x1 + t_size[0] + 3, y1 + t_size[1] + 4), color, -1)
            cv2.putText(img, label, (x1, y1 + t_size[1] + 4), cv2.FONT_HERSHEY_PLAIN, 2, [255, 255, 255], 2)
        return img