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import cv2 |
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import imageio |
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import numpy as np |
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class VideoRecorder: |
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def __init__(self, root_dir, render_size=256, fps=20): |
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if root_dir is not None: |
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self.save_dir = root_dir / 'eval_video' |
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self.save_dir.mkdir(exist_ok=True) |
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else: |
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self.save_dir = None |
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self.render_size = render_size |
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self.fps = fps |
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self.frames = [] |
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def init(self, env, enabled=True): |
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self.frames = [] |
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self.enabled = self.save_dir is not None and enabled |
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self.record(env) |
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def record(self, env): |
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if self.enabled: |
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if hasattr(env, 'physics'): |
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frame = env.physics.render(height=self.render_size, |
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width=self.render_size, |
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camera_id=0) |
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else: |
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frame = env.render() |
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self.frames.append(frame) |
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def save(self, file_name): |
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if self.enabled: |
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path = self.save_dir / file_name |
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imageio.mimsave(str(path), self.frames, fps=self.fps) |
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class TrainVideoRecorder: |
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def __init__(self, root_dir, render_size=256, fps=20): |
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if root_dir is not None: |
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self.save_dir = root_dir / 'train_video' |
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self.save_dir.mkdir(exist_ok=True) |
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else: |
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self.save_dir = None |
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self.render_size = render_size |
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self.fps = fps |
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self.frames = [] |
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def init(self, obs, enabled=True): |
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self.frames = [] |
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self.enabled = self.save_dir is not None and enabled |
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self.record(obs) |
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def record(self, obs): |
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if self.enabled: |
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frame = cv2.resize(obs[-3:].transpose(1, 2, 0), |
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dsize=(self.render_size, self.render_size), |
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interpolation=cv2.INTER_CUBIC) |
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self.frames.append(frame) |
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def save(self, file_name): |
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if self.enabled: |
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path = self.save_dir / file_name |
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imageio.mimsave(str(path), self.frames, fps=self.fps) |
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