admin/lerobot
1
0
Fork 0
mirror of https://github.com/huggingface/lerobot.git synced 2026-05-18 10:10:08 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: pass fps=1.0 scalar to processor instead of video_metadata tuples

Browse Source 
The return_video_metadata=True approach causes 'list index out of range'
due to (tensor, metadata) tuple format issues. Since all extracted
videos are at 1fps (ffmpeg -r 1), directly pass fps=1.0 as a scalar
alongside do_sample_frames=False — this gives the processor the exact
fps for position embedding computation without format compatibility
issues across Qwen processor versions.

Made-with: Cursor
This commit is contained in:
Pepijn
2026-03-30 17:32:30 +02:00
parent 9a298524ca
commit 72692525da
1 changed files with 18 additions and 24 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/lerobot/data_processing/data_annotations/vlm_annotations.py
+18 -24
View File
@@ -159,14 +159,13 @@ class Qwen2VL(BaseVLM):
]
text = self.processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
image_inputs, video_inputs, video_kwargs = self.process_vision_info(
messages, return_video_kwargs=True, return_video_metadata=True
)
image_inputs, video_inputs = self.process_vision_info(messages)
inputs = self.processor(
text=[text],
images=image_inputs,
videos=video_inputs,
**video_kwargs,
do_sample_frames=False,
fps=1.0,
padding=True,
return_tensors="pt",
).to(self.device)
@@ -216,9 +215,7 @@ class Qwen2VL(BaseVLM):
for messages in all_messages:
text = self.processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
image_inputs, video_inputs, video_kwargs = self.process_vision_info(
messages, return_video_kwargs=True, return_video_metadata=True
)
image_inputs, video_inputs = self.process_vision_info(messages)
all_texts.append(text)
all_image_inputs.extend(image_inputs or [])
all_video_inputs.extend(video_inputs or [])
@@ -227,7 +224,8 @@ class Qwen2VL(BaseVLM):
text=all_texts,
images=all_image_inputs if all_image_inputs else None,
videos=all_video_inputs if all_video_inputs else None,
**video_kwargs,
do_sample_frames=False,
fps=1.0,
padding=True,
return_tensors="pt",
).to(self.device)
@@ -336,14 +334,13 @@ class Qwen3VL(BaseVLM):
]
text = self.processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
image_inputs, video_inputs, video_kwargs = self.process_vision_info(
messages, return_video_kwargs=True, return_video_metadata=True
)
image_inputs, video_inputs = self.process_vision_info(messages)
inputs = self.processor(
text=[text],
images=image_inputs,
videos=video_inputs,
**video_kwargs,
do_sample_frames=False,
fps=1.0,
padding=True,
return_tensors="pt",
).to(self.device)
@@ -392,9 +389,7 @@ class Qwen3VL(BaseVLM):
for messages in all_messages:
text = self.processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
image_inputs, video_inputs, video_kwargs = self.process_vision_info(
messages, return_video_kwargs=True, return_video_metadata=True
)
image_inputs, video_inputs = self.process_vision_info(messages)
all_texts.append(text)
all_image_inputs.extend(image_inputs or [])
all_video_inputs.extend(video_inputs or [])
@@ -403,7 +398,8 @@ class Qwen3VL(BaseVLM):
text=all_texts,
images=all_image_inputs if all_image_inputs else None,
videos=all_video_inputs if all_video_inputs else None,
**video_kwargs,
do_sample_frames=False,
fps=1.0,
padding=True,
return_tensors="pt",
).to(self.device)
@@ -506,14 +502,13 @@ class Qwen35VL(BaseVLM):
text = self.processor.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True, enable_thinking=False
)
image_inputs, video_inputs, video_kwargs = self.process_vision_info(
messages, return_video_kwargs=True, return_video_metadata=True
)
image_inputs, video_inputs = self.process_vision_info(messages)
inputs = self.processor(
text=[text],
images=image_inputs,
videos=video_inputs,
**video_kwargs,
do_sample_frames=False,
fps=1.0,
padding=True,
return_tensors="pt",
).to(self.device)
@@ -563,9 +558,7 @@ class Qwen35VL(BaseVLM):
text = self.processor.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True, enable_thinking=False
)
image_inputs, video_inputs, video_kwargs = self.process_vision_info(
messages, return_video_kwargs=True, return_video_metadata=True
)
image_inputs, video_inputs = self.process_vision_info(messages)
all_texts.append(text)
all_image_inputs.extend(image_inputs or [])
all_video_inputs.extend(video_inputs or [])
@@ -574,7 +567,8 @@ class Qwen35VL(BaseVLM):
text=all_texts,
images=all_image_inputs if all_image_inputs else None,
videos=all_video_inputs if all_video_inputs else None,
**video_kwargs,
do_sample_frames=False,
fps=1.0,
padding=True,
return_tensors="pt",
).to(self.device)