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working commit for model latent #180

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3 changes: 3 additions & 0 deletions egomimic/algo/hpt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -135,6 +135,7 @@ def __init__(

self.diffusion = None


def init_encoder(self, modality, encoder_spec):
"""
Initialize an encoder for the specified modality.
Expand Down Expand Up @@ -683,7 +684,9 @@ def forward(self, domain, data):
if self.diffusion:
features = (features, domain)

self.trunk_features = dict()
if domain in self.heads:
self.trunk_features[domain] = features
action[domain] = self.heads[domain](features)

if self.shared_action:
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7 changes: 3 additions & 4 deletions egomimic/scripts/visualization_process/debug/check_zar.py
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Expand Up @@ -7,7 +7,7 @@

def main():
# Default to the outputs produced by `process_image.py`
data_dir = Path("egomimic/scripts/visualization_process/fold_clothes_aria_eva")
data_dir = Path("egomimic/scripts/visualization_process/data2")
manifest_path = data_dir / "manifest.json"
manifest = json.loads(manifest_path.read_text())

Expand All @@ -25,14 +25,13 @@ def main():
for col in ("global_index", "episode_hash"):
print("[INFO] has {} = {}".format(col, col in meta_df.columns))
if len(meta_df) > 0:
first_row = meta_df.iloc[100].to_dict()
first_row = meta_df.iloc[30].to_dict()
breakpoint()
print("[INFO] metadata[0] keys =", sorted(list(first_row.keys()))[:40], "...")
print("[INFO] metadata[0] =", first_row)

# Load embeddings zarr for first image key
first_key = manifest["image_keys"][0]
zarr_path = Path(manifest["embeddings"][first_key])
zarr_path = Path(manifest["embeddings"]["cond"])
root = zarr.open_group(str(zarr_path), mode="r")
arr = root["embeddings"]
print("[INFO] zarr_path =", zarr_path)
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