Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
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@ -73,11 +73,11 @@ def download(data_dir, dataset_id):
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data_dir.mkdir(parents=True, exist_ok=True)
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data_dir.mkdir(parents=True, exist_ok=True)
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gdown.download_folder(FOLDER_URLS[dataset_id], output=data_dir)
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gdown.download_folder(FOLDER_URLS[dataset_id], output=str(data_dir))
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# because of the 50 files limit per directory, two files episode 48 and 49 were missing
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# because of the 50 files limit per directory, two files episode 48 and 49 were missing
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gdown.download(EP48_URLS[dataset_id], output=data_dir / "episode_48.hdf5", fuzzy=True)
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gdown.download(EP48_URLS[dataset_id], output=str(data_dir / "episode_48.hdf5"), fuzzy=True)
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gdown.download(EP49_URLS[dataset_id], output=data_dir / "episode_49.hdf5", fuzzy=True)
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gdown.download(EP49_URLS[dataset_id], output=str(data_dir / "episode_49.hdf5"), fuzzy=True)
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class AlohaExperienceReplay(AbstractExperienceReplay):
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class AlohaExperienceReplay(AbstractExperienceReplay):
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@ -370,14 +370,10 @@ class AlohaEnv(EnvBase):
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raise NotImplementedError()
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raise NotImplementedError()
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# self._prev_action_queue = deque(maxlen=self.num_prev_action)
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# self._prev_action_queue = deque(maxlen=self.num_prev_action)
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def render(self, mode="rgb_array", width=384, height=384):
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def render(self, mode="rgb_array", width=640, height=480):
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if width != height:
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# TODO(rcadene): render and visualizer several cameras (e.g. angle, front_close)
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raise NotImplementedError()
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image = self._env.physics.render(height=height, width=width, camera_id="top")
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tmp = self._env.render_size
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return image
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self._env.render_size = width
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out = self._env.render(mode)
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self._env.render_size = tmp
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return out
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def _format_raw_obs(self, raw_obs):
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def _format_raw_obs(self, raw_obs):
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if self.from_pixels:
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if self.from_pixels:
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@ -535,8 +531,10 @@ class AlohaEnv(EnvBase):
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# )
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# )
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# TODO(rcaene): add bounds (where are they????)
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# TODO(rcaene): add bounds (where are they????)
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self.action_spec = UnboundedContinuousTensorSpec(
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self.action_spec = BoundedTensorSpec(
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shape=(len(ACTIONS)),
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shape=(len(ACTIONS)),
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low=-1,
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high=1,
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dtype=torch.float32,
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dtype=torch.float32,
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device=self.device,
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device=self.device,
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)
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)
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