import cv2 def get_image_dimensions(image_path): image = cv2.imread(image_path) if image is None: print("Error: Image not found or corrupted.") return None height, width, channels = image.shape print(f'图像高度: {height}, 图像宽度: {width}') return height, width # 使用示例 image_...
importcv2defget_image_dimensions(image):# 获取图像的行数、列数和通道数height,width,channels=image.shapereturnheight,width,channels# 读取图像image=cv2.imread('image.jpg')# 获取图像的维度信息height,width,channels=get_image_dimensions(image)print('图像的行数:',height)print('图像的列数:',width)pri...
defimclearborder(imgBW, radius):# Given a black and white image, first find all of its contoursimgBWcopy = imgBW.copy() contours = cv2.findContours(imgBWcopy.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)[-2]# Get dimensions of imageimgRows = imgBW.shape[0] imgCols = imgBW.shape...
resized_height, resized_width = _get_img_dimensions(resized_img) full_resized_image_area = resized_height * resized_width# Default to the smallest possible document area and save any larger document areaslargest_document_area = full_resized_image_area * ALIGNMENT_PERCENT_AREA_DOCUMENT_MUST_COVER#...
ndarray: canvas_dimensions = self.get_output_dimensions(image) scale_factor = max(canvas_dimensions) / max(image.shape) scaled_polygons = polygons * scale_factor output_image = np.zeros(canvas_dimensions, dtype=np.uint8) for polygon, scaled_polygon in zip(polygons, scaled_polygons): ...
def _find_document_corners(resized_img): contours = _compute_all_contours(resized_img) resized_height, resized_width = _get_img_dimensions(resized_img) full_resized_image_area = resized_height * resized_width # Default to the smallest possible document area and save any larger document areas ...
然而，数字传感器没有经过这样的过程，因此没有胶片颗粒。这会生成无噪声的数字视频，其完美、清晰和明显...
Hi there, I get an error with respect to video dimensions. Here is how I installed allensdk.eye_tracking on Ubuntu 17.10: ~$ conda create --name allen ~$ source activate allen ~$ python Python 2.7.14 |Anaconda custom (64-bit)| (default, ...
OpenCV makes reading a wide range of image file types from disk a breeze with thecv2.imreadfunction. We load the input--imageto memory onLine 13usingcv2.imread, which returns theimageas a NumPy array. Upon success, we obtain the image dimensions(h, w, c)from the shape of the array (...
EDIT：您的代码在我的机器上运行良好，即使有屏幕捕获功能。我只需要更改从屏幕上捕获的monitor感兴趣区域...