Python cv2.FONT_ITALIC屬性代碼示例

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def detect(imgfile):
    origimg = cv2.imread(imgfile)
    img = preprocess(origimg)
    
    img = img.astype(np.float32)
    img = img.transpose((2, 0, 1))

    net.blobs['data'].data[...] = img
    out = net.forward()  
    box, conf, cls = postprocess(origimg, out)

    for i in range(len(box)):
       p1 = (box[i][0], box[i][1])
       p2 = (box[i][2], box[i][3])
       cv2.rectangle(origimg, p1, p2, (0,255,0))
       p3 = (max(p1[0], 15), max(p1[1], 15))
       title = "%s:%.2f" % (CLASSES[int(cls[i])], conf[i])
       cv2.putText(origimg, title, p3, cv2.FONT_ITALIC, 0.6, (0, 255, 0), 1)
    cv2.imshow("SSD", origimg)
 
    k = cv2.waitKey(0) & 0xff
        #Exit if ESC pressed
    if k == 27 : return False
    return True 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def detect(imgfile):
    origimg = cv2.imread(imgfile)
    img = preprocess(origimg)
    
    img = img.astype(np.float32)
    img = img.transpose((2, 0, 1))

    net.blobs['data'].data[...] = img
    out = net.forward() 
    box, conf, cls = postprocess(origimg, out)

    for i in range(len(box)):
       p1 = (box[i][0], box[i][1])
       p2 = (box[i][2], box[i][3])
       cv2.rectangle(origimg, p1, p2, (0,255,0))
       p3 = (max(p1[0], 15), max(p1[1], 15))
       title = "%s:%.2f" % (COCO_CLASSES[int(cls[i])], conf[i])
       cv2.putText(origimg, title, p3, cv2.FONT_ITALIC, 0.6, (0, 255, 0), 1)
    cv2.imshow("SSD", origimg)
 
    k = cv2.waitKey(0) & 0xff
        #Exit if ESC pressed
    if k == 27 : return False
    return True 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def detect(imgfile):
    origimg = cv2.imread(imgfile)
    img = preprocess(origimg)
    
    img = img.astype(np.float32)
    img = img.transpose((2, 0, 1))

    net.blobs['data'].data[...] = img
    out = net.forward() 
    box, conf, cls = postprocess(origimg, out)

    for i in range(len(box)):
       p1 = (box[i][0], box[i][1])
       p2 = (box[i][2], box[i][3])
       cv2.rectangle(origimg, p1, p2, (0,255,0))
       p3 = (max(p1[0], 15), max(p1[1], 15))
       title = "%s:%.2f" % (CLASSES[int(cls[i])], conf[i])
       cv2.putText(origimg, title, p3, cv2.FONT_ITALIC, 0.6, (0, 255, 0), 1)
    cv2.imshow("SSD", origimg)
 
    k = cv2.waitKey(0) & 0xff
        #Exit if ESC pressed
    if k == 27 : return False
    return True 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def cv2_draw_text(img, locs, labels, colors, thickness, line_type=cv2.LINE_8):
    locs = locs.astype(np.int32)
    font_line_type = cv2.LINE_8
    font = cv2.FONT_ITALIC
    font = cv2.FONT_HERSHEY_DUPLEX
    font = cv2.FONT_HERSHEY_PLAIN
    font = cv2.FONT_HERSHEY_SIMPLEX
    for loc, label, color in zip(locs, labels, colors):
        color = list(int(c) for c in color)
        cv2.putText(img, label, tuple(loc), font, 0.7, color, thickness,
                    font_line_type, False)
    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def cv2_draw_bbox_with_label(img,
                             bboxes,
                             colors,
                             labels=None,
                             label_colors=None,
                             thickness=1,
                             line_type=cv2.LINE_8,
                             font_line_type=cv2.LINE_8):
    # assume bboxes has right format.
    bboxes = bboxes.astype(np.int32)
    if label_colors is None:
        label_colors = colors
    if labels is None:
        labels = [None] * bboxes.shape[0]

    font = cv2.FONT_ITALIC
    font = cv2.FONT_HERSHEY_DUPLEX
    font = cv2.FONT_HERSHEY_PLAIN
    font = cv2.FONT_HERSHEY_SIMPLEX
    for bbox, color, label, label_color in zip(bboxes, colors, labels,
                                               label_colors):
        color = tuple(int(c) for c in color)
        label_color = tuple(int(c) for c in label_color)
        cv2.rectangle(img, tuple(bbox[:2]), tuple(bbox[2:]), color, thickness,
                      line_type)
        if label is not None:
            cv2.putText(img, label, tuple(bbox[:2]), font, 1, label_color,
                        thickness, font_line_type, False)
    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def detect(img_path):

    origimg = cv2.imread(img_path)
    img = preprocess(origimg)

    img = img.astype(np.float32)
    img = img.transpose((2, 0, 1))

    net.blobs['data'].data[...] = img
    start = time.time()
    out = net.forward()
    use_time=time.time() - start
    print("time="+str(round(use_time*1000,3))+"ms")
    box, conf, cls = postprocess(origimg, out)

    for i in range(len(box)):
        if conf[i] > 0.3:
            p1 = (box[i][0], box[i][1])
            p2 = (box[i][2], box[i][3])
            cv2.rectangle(origimg, p1, p2, (0,255,0))
            p3 = (max(p1[0], 15), max(p1[1], 15))
            title = "%s:%.2f" % (CLASSES[int(cls[i])], conf[i])
            cv2.putText(origimg, title, p3, cv2.FONT_ITALIC, 0.6, (0, 255, 0), 1)

    cv2.imshow("SSD", origimg)

    cv2.waitKey(1) & 0xff
        #Exit if ESC pressed
    return True 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def cv2_draw_text(img, locs, labels, colors, thickness, line_type=cv2.LINE_8):
    locs = locs.astype(np.int32)
    font_line_type = cv2.LINE_8
    font = cv2.FONT_ITALIC
    font = cv2.FONT_HERSHEY_DUPLEX
    font = cv2.FONT_HERSHEY_PLAIN
    font = cv2.FONT_HERSHEY_SIMPLEX
    for loc, label, color in zip(locs, labels, colors):
        color = list(int(c) for c in color)
        cv2.putText(
            img, label, tuple(loc), font, 0.7, color, thickness, font_line_type, False
        )
    return img 

# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import FONT_ITALIC [as 別名]
def plot_scene_with_estimate(test_img,renderer,K_test, R_est_old, t_est_old,R_est_ref, t_est_ref, test_bb, test_score, obj_id, gts=[], bb_pred=None):   
    global view_idx
    if bb_pred is not None:
        scene_detect = test_img.copy()
        for bb in bb_pred:
            try:
                xmin = int(bb['obj_bb'][0])
                ymin = int(bb['obj_bb'][1])
                xmax = int(bb['obj_bb'][0]+bb['obj_bb'][2])
                ymax = int(bb['obj_bb'][1]+bb['obj_bb'][3])
                if obj_id == bb['obj_id']:
                    cv2.rectangle(scene_detect, (xmin,ymin),(xmax,ymax), (0,255,0), 2)
                    cv2.putText(scene_detect, '%s: %1.3f' % (bb['obj_id'],bb['score']), (xmin, ymax+20), cv2.FONT_ITALIC, .5, (0,255,0), 2)
                else:
                    cv2.rectangle(scene_detect, (xmin,ymin),(xmax,ymax), (0,0,255), 2)
                    # cv2.putText(scene_detect, '%s: %1.3f' % (bb['obj_id'],bb['score']), (xmin, ymax+20), cv2.FONT_ITALIC, .5, (0,0,255), 2)
            except:
                pass
            #cv2.putText(scene_detect, '%s: %1.3f' % (obj_id,test_score), (xmin, ymax+20), cv2.FONT_ITALIC, .5, (0,255,0), 2)
        cv2.imshow('scene_detect',scene_detect)
        

    xmin = int(test_bb[0])
    ymin = int(test_bb[1])
    xmax = int(test_bb[0]+test_bb[2])
    ymax = int(test_bb[1]+test_bb[3])

    print 'here'
    obj_in_scene, _ = renderer.render( obj_id=0, W=test_img.shape[1],H=test_img.shape[0], K=K_test.copy(), R=R_est_old, t=np.array(t_est_old),near=10,far=10000,random_light=False)
    scene_view = test_img.copy()
    scene_view[obj_in_scene > 0] = obj_in_scene[obj_in_scene > 0]
    cv2.rectangle(scene_view, (xmin,ymin),(xmax,ymax), (0,255,0), 2)
    cv2.putText(scene_view, '%s: %1.3f' % (obj_id,test_score), (xmin, ymax+20), cv2.FONT_ITALIC, .5, (0,255,0), 2)
    cv2.imshow('scene_estimation',scene_view)

    obj_in_scene_ref, _ = renderer.render( obj_id=0, W=test_img.shape[1],H=test_img.shape[0], K=K_test.copy(), R=R_est_ref, t=np.array(t_est_ref),near=10,far=10000,random_light=False)
    scene_view_refined = test_img.copy()

    g_y = np.zeros_like(obj_in_scene_ref)
    g_y[:,:,1]= obj_in_scene_ref[:,:,1]
    scene_view_refined[obj_in_scene_ref > 0] = g_y[obj_in_scene_ref > 0]*2./3. + scene_view_refined[obj_in_scene_ref > 0]*1./3.
    # scene_view_refined[obj_in_scene_ref > 0] = obj_in_scene_ref[obj_in_scene_ref > 0]
    cv2.rectangle(scene_view_refined, (xmin,ymin),(xmax,ymax), (0,255,0), 2)
    cv2.putText(scene_view_refined,'%s: %1.3f' % (obj_id,test_score), (xmin, ymax+20), cv2.FONT_ITALIC, .5, (0,255,0), 2)
    cv2.imshow('scene_estimation_refined',scene_view_refined)
    cv2.waitKey(0)
    # cv2.imwrite('/net/rmc-lx0314/home_local/sund_ma/autoencoder_ws/bosch/thr_sc2_obj7/%s.png'% view_idx,scene_view_refined)
    view_idx += 1

    # for gt in gts:
    #     if gt['obj_id'] == obj_id:
    #         obj_in_scene, _ = renderer.render( obj_id=0, W=test_img.shape[1],H=test_img.shape[0], K=K_test.copy(), R=gt['cam_R_m2c'], t=np.array(gt['cam_t_m2c']),near=10,far=10000,random_light=False)
    #         scene_view = test_img.copy()
    #         scene_view[obj_in_scene > 0] = obj_in_scene[obj_in_scene > 0]
    #         cv2.imshow('ground truth scene_estimation',scene_view)