mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-12 10:55:57 +08:00
Ethan Weber
55ebaaf1b5
* might fix the stun server issue * still debugging webrtc * another turn server * working on github actions * updating actions file * fixing actions * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * ga * updating viewer * update docs
102 lines
3.3 KiB
Python
102 lines
3.3 KiB
Python
# Copyright 2022 The Plenoptix Team. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
"""Video Stream objects for WebRTC"""
|
|
|
|
import math
|
|
|
|
import cv2
|
|
import numpy as np
|
|
from aiortc import VideoStreamTrack
|
|
from av import VideoFrame
|
|
|
|
|
|
class FlagVideoStreamTrack(VideoStreamTrack):
|
|
"""
|
|
A video track that returns an animated flag. For debugging purposes :')
|
|
"""
|
|
|
|
def __init__(self):
|
|
super().__init__() # don't forget this!
|
|
self.counter = 0
|
|
height, width = 480, 640
|
|
|
|
# generate flag
|
|
data_bgr = np.hstack(
|
|
[
|
|
self._create_rectangle(width=213, height=480, color=(255, 0, 0)), # blue
|
|
self._create_rectangle(width=214, height=480, color=(255, 255, 255)), # white
|
|
self._create_rectangle(width=213, height=480, color=(0, 0, 255)), # red
|
|
]
|
|
)
|
|
|
|
# shrink and center it
|
|
M = np.float32([[0.5, 0, width / 4], [0, 0.5, height / 4]])
|
|
data_bgr = cv2.warpAffine(data_bgr, M, (width, height))
|
|
|
|
# compute animation
|
|
omega = 2 * math.pi / height
|
|
id_x = np.tile(np.array(range(width), dtype=np.float32), (height, 1))
|
|
id_y = np.tile(np.array(range(height), dtype=np.float32), (width, 1)).transpose()
|
|
|
|
self.frames = []
|
|
for k in range(30):
|
|
phase = 2 * k * math.pi / 30
|
|
map_x = id_x + 10 * np.cos(omega * id_x + phase)
|
|
map_y = id_y + 10 * np.sin(omega * id_x + phase)
|
|
frame = cv2.remap(data_bgr, map_x, map_y, cv2.INTER_LINEAR)
|
|
self.frames.append(VideoFrame.from_ndarray(frame, format="bgr24"))
|
|
|
|
async def recv(self):
|
|
pts, time_base = await self.next_timestamp()
|
|
|
|
frame = self.frames[self.counter % 30]
|
|
frame.pts = pts
|
|
frame.time_base = time_base
|
|
self.counter += 1
|
|
return frame
|
|
|
|
@staticmethod
|
|
def _create_rectangle(width, height, color):
|
|
data_bgr = np.zeros((height, width, 3), np.uint8)
|
|
data_bgr[:, :] = color
|
|
return data_bgr
|
|
|
|
|
|
class SingleFrameStreamTrack(VideoStreamTrack):
|
|
"""Single Frame stream class: pushes single frames to a stream"""
|
|
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.background_frame = np.ones((480, 640, 3), dtype="uint8") * 100 # gray background
|
|
self.frame = None
|
|
self.put_frame(self.background_frame)
|
|
|
|
def put_frame(self, frame: np.ndarray) -> None:
|
|
"""Sets the current viewing frame
|
|
|
|
Args:
|
|
frame: image to be viewed
|
|
"""
|
|
self.frame = VideoFrame.from_ndarray(frame)
|
|
|
|
async def recv(self):
|
|
"""Async method to grab and wait on frame"""
|
|
pts, time_base = await self.next_timestamp()
|
|
|
|
frame = self.frame
|
|
frame.pts = pts
|
|
frame.time_base = time_base
|
|
return frame
|