def generate_video_from_list(image_list, save_path, framerate=30, downsample=1, warning=True, debug=True):
'''
create video from a list of images with a framerate
note that: the height and widht of the images should be a multiple of 2
parameters:
image_list: a list of image path
save_path: the path to save the video file
framerate: fps
'''
if debug:
assert islistofstring(image_list), 'the input is not correct'
assert ispositiveinteger(framerate), 'the framerate is a positive integer'
mkdir_if_missing(save_path)
inputdict = {'-r': str(framerate)}
outputdict = {'-r': str(framerate), '-crf': '18', '-vcodec': 'libx264', '-profile:V': 'high', '-pix_fmt': 'yuv420p'}
video_writer = FFmpegWriter(save_path, inputdict=inputdict, outputdict=outputdict)
count = 1
num_images = len(image_list)
for image_path in image_list:
print('processing frame %d/%d' % (count, num_images))
image = load_image(image_path, resize_factor=downsample, warning=warning, debug=debug)
# make sure the height and width are multiple of 2
height, width = image.shape[0], image.shape[1]
if not (height % 2 == 0 and width % 2 == 0):
height += height % 2
width += width % 2
image = image_resize(image, target_size=[height, width], warning=warning, debug=debug)
video_writer.writeFrame(image)
count += 1
video_writer.close()
def load_image(src_path, resize_factor=None, target_size=None, input_angle=0, gray=False, warning=True, debug=True):
'''
load an image from given path, with preprocessing of resizing and rotating, output a rgb image
parameters:
resize_factor: a scalar
target_size: a list or tuple or numpy array with 2 elements, representing height and width
input_angle: a scalar, counterclockwise rotation in degree
output:
np_image: an uint8 rgb numpy image
'''
src_path = safe_path(src_path, warning=warning, debug=debug)
if debug: assert is_path_exists(src_path), 'image path is not correct at %s' % src_path
if resize_factor is None and target_size is None: resize_factor = 1.0 # default not to have resizing
with open(src_path, 'rb') as f:
with Image.open(f) as img:
if gray: img = img.convert('L')
else:
try:
img = img.convert('RGB')
except IOError:
print(src_path)
zxc
np_image = image_rotate(img, input_angle=input_angle, warning=warning, debug=debug)
np_image = image_resize(np_image, resize_factor=resize_factor, target_size=target_size, warning=warning, debug=debug)
return np_image
def save_image(input_image, save_path, resize_factor=None, target_size=None, input_angle=0, warning=True, debug=True):
'''
load an image to a given path, with preprocessing of resizing and rotating
parameters:
resize_factor: a scalar
target_size: a list of tuple or numpy array with 2 elements, representing height and width
input_angle: a scalar, counterclockwise rotation in degree
'''
save_path = safe_path(save_path, warning=warning, debug=debug); mkdir_if_missing(save_path)
if debug: is_path_exists_or_creatable(save_path), 'the path is not good to save'
np_image, _ = safe_image(input_image, warning=warning, debug=debug)
if resize_factor is None and target_size is None: resize_factor = 1.0 # default not to have resizing
# preprocessing the image before saving
np_image = image_rotate(np_image, input_angle=input_angle, warning=warning, debug=debug)
np_image = image_resize(np_image, resize_factor=resize_factor, target_size=target_size, warning=warning, debug=debug)
# saving
pil_image = Image.fromarray(np_image)
pil_image.save(save_path)