SilinMeng0510 / llm-astar

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
https://silinmeng0510.github.io/llm-astar/
MIT License
31 stars 0 forks source link

run the Quick Start but get a white png #1

Open liguet opened 2 months ago

liguet commented 2 months ago

Software execution information

I use python 3.10.14 in conda and use pip to run "pip install llm-astar" here are my pip list: Package Version


aiohappyeyeballs 2.4.2 aiohttp 3.10.8 aiosignal 1.3.1 ansicon 1.89.0 async-timeout 4.0.3 attrs 24.2.0 blessed 1.20.0 certifi 2024.8.30 charset-normalizer 3.3.2 colorama 0.4.6 contourpy 1.3.0 cycler 0.12.1 editor 1.6.6 filelock 3.16.1 fonttools 4.54.1 frozenlist 1.4.1 fsspec 2024.9.0 huggingface-hub 0.25.1 idna 3.10 inquirer 3.2.5 Jinja2 3.1.4 jinxed 1.3.0 kiwisolver 1.4.7 llm-astar 0.1.4 MarkupSafe 2.1.5 matplotlib 3.9.2 mpmath 1.3.0 multidict 6.1.0 networkx 3.3 numpy 2.1.1 openai 0.27.2 packaging 24.1 pillow 10.4.0 pip 24.2 pyparsing 3.1.4 python-dateutil 2.9.0.post0 PyYAML 6.0.2 readchar 4.2.0 regex 2024.9.11 requests 2.32.3 runs 1.2.2 safetensors 0.4.5 setuptools 68.2.2 shapely 2.0.6 six 1.16.0 sympy 1.13.3 tokenizers 0.20.0 torch 2.4.1 tqdm 4.66.5 transformers 4.45.1 typing_extensions 4.12.2 urllib3 2.2.3 wcwidth 0.2.13 wheel 0.44.0 xmod 1.8.1 yarl 1.13.1

Problem description

The output seems good, but it cannot generate the corresponding image,llm.png and astar.png are white image output is here: {'start': [5, 5], 'goal': [45, 25], 'size': [51, 31], 'horizontal_barriers': [[10, 0, 25], [15, 30, 50]], 'vertical_barriers': [[25, 10, 22]], 'range_x': [0, 51], 'range_y': [0, 31]} {'operation': 462, 'storage': 470, 'length': 49.4558441227157} {'start': [5, 5], 'goal': [45, 25], 'size': [51, 31], 'horizontal_barriers': [[10, 0, 25], [15, 30, 50]], 'vertical_barriers': [[25, 10, 22]], 'range_x': [0, 50], 'range_y': [0, 30]} [(5, 5), (26, 9), (25, 23), (45, 25)] (5, 5) (26, 9) (26, 9) (25, 23) (25, 23) (45, 25) {'operation': 103, 'storage': 232, 'length': 49.45584412271569, 'llm_output': [(5, 5), (26, 9), (25, 23), (45, 25)]}

Steps to reproduce the problem

Expected behavior

Other information

liguet commented 2 months ago

it may be s stupid question with my poor python coding ability,if make you feel bad i sorry