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Copy pathexport_utils.py
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184 lines (145 loc) 路 6.15 KB
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import io
import random
import struct
import tempfile
from contextlib import contextmanager
from typing import List, Union
import numpy as np
import PIL.Image
import PIL.ImageOps
from .import_utils import BACKENDS_MAPPING, is_imageio_available, is_opencv_available
from .logging import get_logger
global_rng = random.Random()
logger = get_logger(__name__)
@contextmanager
def buffered_writer(raw_f):
f = io.BufferedWriter(raw_f)
yield f
f.flush()
def export_to_gif(image: List[PIL.Image.Image], output_gif_path: str = None, fps: int = 10) -> str:
if output_gif_path is None:
output_gif_path = tempfile.NamedTemporaryFile(suffix=".gif").name
image[0].save(
output_gif_path,
save_all=True,
append_images=image[1:],
optimize=False,
duration=1000 // fps,
loop=0,
)
return output_gif_path
def export_to_ply(mesh, output_ply_path: str = None):
"""
Write a PLY file for a mesh.
"""
if output_ply_path is None:
output_ply_path = tempfile.NamedTemporaryFile(suffix=".ply").name
coords = mesh.verts.detach().cpu().numpy()
faces = mesh.faces.cpu().numpy()
rgb = np.stack([mesh.vertex_channels[x].detach().cpu().numpy() for x in "RGB"], axis=1)
with buffered_writer(open(output_ply_path, "wb")) as f:
f.write(b"ply\n")
f.write(b"format binary_little_endian 1.0\n")
f.write(bytes(f"element vertex {len(coords)}\n", "ascii"))
f.write(b"property float x\n")
f.write(b"property float y\n")
f.write(b"property float z\n")
if rgb is not None:
f.write(b"property uchar red\n")
f.write(b"property uchar green\n")
f.write(b"property uchar blue\n")
if faces is not None:
f.write(bytes(f"element face {len(faces)}\n", "ascii"))
f.write(b"property list uchar int vertex_index\n")
f.write(b"end_header\n")
if rgb is not None:
rgb = (rgb * 255.499).round().astype(int)
vertices = [
(*coord, *rgb)
for coord, rgb in zip(
coords.tolist(),
rgb.tolist(),
)
]
format = struct.Struct("<3f3B")
for item in vertices:
f.write(format.pack(*item))
else:
format = struct.Struct("<3f")
for vertex in coords.tolist():
f.write(format.pack(*vertex))
if faces is not None:
format = struct.Struct("<B3I")
for tri in faces.tolist():
f.write(format.pack(len(tri), *tri))
return output_ply_path
def export_to_obj(mesh, output_obj_path: str = None):
if output_obj_path is None:
output_obj_path = tempfile.NamedTemporaryFile(suffix=".obj").name
verts = mesh.verts.detach().cpu().numpy()
faces = mesh.faces.cpu().numpy()
vertex_colors = np.stack([mesh.vertex_channels[x].detach().cpu().numpy() for x in "RGB"], axis=1)
vertices = [
"{} {} {} {} {} {}".format(*coord, *color) for coord, color in zip(verts.tolist(), vertex_colors.tolist())
]
faces = ["f {} {} {}".format(str(tri[0] + 1), str(tri[1] + 1), str(tri[2] + 1)) for tri in faces.tolist()]
combined_data = ["v " + vertex for vertex in vertices] + faces
with open(output_obj_path, "w") as f:
f.writelines("\n".join(combined_data))
def _legacy_export_to_video(
video_frames: Union[List[np.ndarray], List[PIL.Image.Image]], output_video_path: str = None, fps: int = 10
):
if is_opencv_available():
import cv2
else:
raise ImportError(BACKENDS_MAPPING["opencv"][1].format("export_to_video"))
if output_video_path is None:
output_video_path = tempfile.NamedTemporaryFile(suffix=".mp4").name
if isinstance(video_frames[0], np.ndarray):
video_frames = [(frame * 255).astype(np.uint8) for frame in video_frames]
elif isinstance(video_frames[0], PIL.Image.Image):
video_frames = [np.array(frame) for frame in video_frames]
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
h, w, c = video_frames[0].shape
video_writer = cv2.VideoWriter(output_video_path, fourcc, fps=fps, frameSize=(w, h))
for i in range(len(video_frames)):
img = cv2.cvtColor(video_frames[i], cv2.COLOR_RGB2BGR)
video_writer.write(img)
return output_video_path
def export_to_video(
video_frames: Union[List[np.ndarray], List[PIL.Image.Image]], output_video_path: str = None, fps: int = 10
) -> str:
# TODO: Dhruv. Remove by Diffusers release 0.33.0
# Added to prevent breaking existing code
if not is_imageio_available():
logger.warning(
(
"It is recommended to use `export_to_video` with `imageio` and `imageio-ffmpeg` as a backend. \n"
"These libraries are not present in your environment. Attempting to use legacy OpenCV backend to export video. \n"
"Support for the OpenCV backend will be deprecated in a future Diffusers version"
)
)
return _legacy_export_to_video(video_frames, output_video_path, fps)
if is_imageio_available():
import imageio
else:
raise ImportError(BACKENDS_MAPPING["imageio"][1].format("export_to_video"))
try:
imageio.plugins.ffmpeg.get_exe()
except AttributeError:
raise AttributeError(
(
"Found an existing imageio backend in your environment. Attempting to export video with imageio. \n"
"Unable to find a compatible ffmpeg installation in your environment to use with imageio. Please install via `pip install imageio-ffmpeg"
)
)
if output_video_path is None:
output_video_path = tempfile.NamedTemporaryFile(suffix=".mp4").name
if isinstance(video_frames[0], np.ndarray):
video_frames = [(frame * 255).astype(np.uint8) for frame in video_frames]
elif isinstance(video_frames[0], PIL.Image.Image):
video_frames = [np.array(frame) for frame in video_frames]
with imageio.get_writer(output_video_path, fps=fps) as writer:
for frame in video_frames:
writer.append_data(frame)
return output_video_path