Python png.Reader方法代码示例

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def flow_read_png(fpath):
    """
    Read KITTI optical flow, returns u,v,valid mask

    """
    if not has_png:
        print('Error. Please install the PyPNG library')
        return

    R = png.Reader(fpath)
    width,height,data,_ = R.asDirect()
    # This only worked with python2.
    #I = np.array(map(lambda x:x,data)).reshape((height,width,3))
    I = np.array([x for x in data]).reshape((height,width,3))
    u_ = I[:,:,0]
    v_ = I[:,:,1]
    valid = I[:,:,2]

    u = (u_.astype('float64')-2**15)/64.0
    v = (v_.astype('float64')-2**15)/64.0

    return u,v,valid 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def load_png(file_path):
    """
    Read from KITTI .png file
    Args:
        file_path string: file path(absolute)
    Returns:
        data (numpy.array): data of image in (Height, Width, 3) layout
    """
    flow_object = png.Reader(filename=file_path)
    flow_direct = flow_object.asDirect()
    flow_data = list(flow_direct[2])
    (w, h) = flow_direct[3]['size']

    flow = np.zeros((h, w, 3), dtype=np.float64)
    for i in range(len(flow_data)):
        flow[i, :, 0] = flow_data[i][0::3]
        flow[i, :, 1] = flow_data[i][1::3]
        flow[i, :, 2] = flow_data[i][2::3]

    invalid_idx = (flow[:, :, 2] == 0)
    flow[:, :, 0:2] = (flow[:, :, 0:2] - 2 ** 15) / 64.0
    flow[invalid_idx, 0] = 0
    flow[invalid_idx, 1] = 0

    return flow.astype(np.float32) 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def read_disp_png(file_name):
    """
    Read optical flow from KITTI .png file
    :param file_name: name of the flow file
    :return: optical flow data in matrix
    """
    image_object = png.Reader(filename=file_name)
    image_direct = image_object.asDirect()
    image_data = list(image_direct[2])
    (w, h) = image_direct[3]['size']
    channel = len(image_data[0]) / w
    flow = np.zeros((h, w, channel), dtype=np.uint16)
    for i in range(len(image_data)):
        for j in range(channel):
            flow[i, :, j] = image_data[i][j::channel]
    return flow[:, :, 0] / 256 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def read_png_file(flow_file):
    """
    Read from KITTI .png file
    :param flow_file: name of the flow file
    :return: optical flow data in matrix
    """
    flow_object = png.Reader(filename=flow_file)
    flow_direct = flow_object.asDirect()
    flow_data = list(flow_direct[2])
    (w, h) = flow_direct[3]['size']
    print("Reading %d x %d flow file in .png format" % (h, w))
    flow = np.zeros((h, w, 3), dtype=np.float64)
    for i in range(len(flow_data)):
        flow[i, :, 0] = flow_data[i][0::3]
        flow[i, :, 1] = flow_data[i][1::3]
        flow[i, :, 2] = flow_data[i][2::3]

    invalid_idx = (flow[:, :, 2] == 0)
    flow[:, :, 0:2] = (flow[:, :, 0:2] - 2 ** 15) / 64.0
    flow[invalid_idx, 0] = 0
    flow[invalid_idx, 1] = 0
    return flow 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def read_flow_png(flow_file):
    """
    Read optical flow from KITTI .png file
    :param flow_file: name of the flow file
    :return: optical flow data in matrix
    """
    flow_object = png.Reader(filename=flow_file)
    flow_direct = flow_object.asDirect()
    flow_data = list(flow_direct[2])
    (w, h) = flow_direct[3]['size']
    flow = np.zeros((h, w, 3), dtype=np.float64)
    for i in range(len(flow_data)):
        flow[i, :, 0] = flow_data[i][0::3]
        flow[i, :, 1] = flow_data[i][1::3]
        flow[i, :, 2] = flow_data[i][2::3]

    invalid_idx = (flow[:, :, 2] == 0)
    flow[:, :, 0:2] = (flow[:, :, 0:2] - 2 ** 15) / 64.0
    flow[invalid_idx, 0] = 0
    flow[invalid_idx, 1] = 0
    return flow 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def accept(self, path, ext, operator):
        if operator == "resize":
            return 'NG'
        elif operator == "save":
            return 'OK'
        else:
            if ext == '.png':
                f = path if hasattr(path, "read") else open(path, "rb")

                r = png.Reader(file=f)
                width, height, pixels, metadata = r.asDirect()
                f.seek(0)
                bit_depth = metadata.get("bitdepth")

                if bit_depth not in [8, 16]:
                    return "NG"
                else:
                    return "Recommended"
            else:
                return "NG" 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def load_images(path, ID):
    
    """
    Load a color and a depth image by path and image ID 

    """
    global camera_intrinsics
    
    img_file = path + 'JPEGImages/%s.jpg' % (ID*LABEL_INTERVAL)
    cad = cv2.imread(img_file)

    depth_file = path + 'depth/%s.png' % (ID*LABEL_INTERVAL)
    reader = png.Reader(depth_file)
    pngdata = reader.read()
    # depth = np.vstack(map(np.uint16, pngdata[2]))
    depth = np.array(tuple(map(np.uint16, pngdata[2])))
    pointcloud = convert_depth_frame_to_pointcloud(depth, camera_intrinsics)


    return (cad, pointcloud) 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def read_png_file(flow_file):
    """
    Read from KITTI .png file
    :param flow_file: name of the flow file
    :return: optical flow data in matrix
    """
    flow_object = png.Reader(filename=flow_file)
    flow_direct = flow_object.asDirect()
    flow_data = list(flow_direct[2])
    (w, h) = flow_direct[3]['size']
    print "Reading %d x %d flow file in .png format" % (h, w)
    flow = np.zeros((h, w, 3), dtype=np.float64)
    for i in range(len(flow_data)):
        flow[i, :, 0] = flow_data[i][0::3]
        flow[i, :, 1] = flow_data[i][1::3]
        flow[i, :, 2] = flow_data[i][2::3]

    invalid_idx = (flow[:, :, 2] == 0)
    flow[:, :, 0:2] = (flow[:, :, 0:2] - 2 ** 15) / 64.0
    flow[invalid_idx, 0] = 0
    flow[invalid_idx, 1] = 0
    return flow 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def read_png_flow(flow_file):
    flow_object = png.Reader(filename=flow_file)
    flow_direct = flow_object.asDirect()
    flow_data = list(flow_direct[2])
    (w, h) = flow_direct[3]['size']
    flow = np.zeros((h, w, 3), dtype=np.float64)
    for i in range(len(flow_data)):
        flow[i, :, 0] = flow_data[i][0::3]
        flow[i, :, 1] = flow_data[i][1::3]
        flow[i, :, 2] = flow_data[i][2::3]

    invalid_idx = (flow[:, :, 2] == 0)
    flow[:, :, 0:2] = (flow[:, :, 0:2] - 2 ** 15) / 64.0
    flow[invalid_idx, 0] = 0
    flow[invalid_idx, 1] = 0
    return flow[:, :, 0:2], (1 - invalid_idx * 1)[:, :, None] 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def load_depth(path):
    # PyPNG library is used since it allows to save 16-bit PNG
    r = png.Reader(filename=path)
    im = np.vstack(map(np.uint16, r.asDirect()[2])).astype(np.float32)
    # itertools.imap is removed in py3
    return im 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def load_depth(path):
    # PyPNG library is used since it allows to save 16-bit PNG
    r = png.Reader(filename=path)
    im = np.vstack(itertools.imap(np.uint16, r.asDirect()[2])).astype(np.float32)
    return im 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def load(image, filename):
        """load a PNG file"""
        reader = png.Reader(filename=filename)
        image.width, image.height, pixels, _ = reader.asRGBA8()
        image.pixels = Image.create_array(image.width, image.height)
        index = 0
        for row in pixels:
            for r, g, b, α in zip(row[::4], row[1::4], row[2::4], row[3::4]):
                image.pixels[index] = Image.color_for_argb(α, r, g, b)
                index += 1 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def load_im(path):
    im = scipy.misc.imread(path)

    # Using PyPNG
    # r = png.Reader(filename=path)
    # im = np.vstack(itertools.imap(np.uint8, r.asDirect()[2]))

    return im 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def read_png_file(filepath):
    data = png.Reader(filename=filepath).asRGBA8()
    width = data[0]
    height = data[1]
    rows = list(data[2])
    return width, height, rows 

# 需要导入模块: import png [as 别名]
# 或者: from png import Reader [as 别名]
def open_flow_png_file(file_path_list):
    # Funtion from Kilian Merkelbach.
    # Decode the information stored in the filename
    flow_png_info = {}
    assert len(file_path_list) == 2
    for file_path in file_path_list:
        file_token_list = os.path.splitext(file_path)[0].split("_")
        minimal_value = int(file_token_list[-1].replace("minimal", ""))
        flow_axis = file_token_list[-2]
        flow_png_info[flow_axis] = {'path': file_path,
                                    'minimal_value': minimal_value}

    # Open both files and add back the minimal value
    for axis, flow_info in flow_png_info.items():
        import png
        png_reader = png.Reader(filename=flow_info['path'])
        flow_2d = np.vstack(map(np.uint16, png_reader.asDirect()[2]))

        # Add the minimal value back
        flow_2d = flow_2d.astype(np.int16) + flow_info['minimal_value']

        flow_png_info[axis]['flow'] = flow_2d

    # Combine the flows
    flow_x = flow_png_info['x']['flow']
    flow_y = flow_png_info['y']['flow']
    flow = np.stack([flow_x, flow_y], 2)

    return flow