hexone2086 479c2b1488 refactor: strided conv encoder with 80x60 input resolution ...

- CNNEncoder: stride=2 convs replace Conv2d+MaxPool2d pattern
- 3 layers (32,64,128) instead of 4 (32,64,128,256), GRU input 192
- DecodeSample resizes grayscale frames to 80x60 via INTER_AREA
- Model params: 227K (was 1.5M), input 80x60 (was 320x240)

Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <vibe@mistral.ai>

2026-08-01 17:47:45 +08:00

src

refactor: strided conv encoder with 80x60 input resolution

2026-08-01 17:47:45 +08:00

visualize

feat: add --show-events overlay with raw log intensity

2026-06-08 11:47:19 +08:00

.gitignore

initial commit

2026-05-29 18:49:01 +08:00

AGENTS.md

docs: strip AGENTS.md to harness essentials, remove research detail

2026-08-01 17:11:17 +08:00

analyse.md

feat: add TBPTT training with cross-batch hidden state carryover

2026-07-29 16:32:41 +08:00

batch_convert.sh

initial commit

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DATASET_FORMAT.md

initial commit

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download_davis_gt_rosbags.sh

initial commit

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requirements.txt

initial commit

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rosbag2wds.py

initial commit

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start_ros_container.sh

fix: make start_ros_container.sh executable

2026-06-04 20:37:58 +08:00

TODO.md

docs: add TODO.md

2026-07-09 15:50:25 +08:00

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