Upload 4 files

environment.yml

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+name: nips
+channels:
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=main
+  - _openmp_mutex=5.1=1_gnu
+  - bzip2=1.0.8=h5eee18b_6
+  - ca-certificates=2025.2.25=h06a4308_0
+  - ld_impl_linux-64=2.40=h12ee557_0
+  - libffi=3.4.4=h6a678d5_1
+  - libgcc-ng=11.2.0=h1234567_1
+  - libgomp=11.2.0=h1234567_1
+  - libstdcxx-ng=11.2.0=h1234567_1
+  - libuuid=1.41.5=h5eee18b_0
+  - ncurses=6.4=h6a678d5_0
+  - openssl=3.0.16=h5eee18b_0
+  - pip=25.0=py311h06a4308_0
+  - python=3.11.11=he870216_0
+  - readline=8.2=h5eee18b_0
+  - setuptools=75.8.0=py311h06a4308_0
+  - sqlite=3.45.3=h5eee18b_0
+  - tk=8.6.14=h39e8969_0
+  - wheel=0.45.1=py311h06a4308_0
+  - xz=5.6.4=h5eee18b_1
+  - zlib=1.2.13=h5eee18b_1
+  - pip:
+      - accelerate==0.26.0
+      - aiocache==0.12.3
+      - aiofiles==23.2.1
+      - aiohappyeyeballs==2.6.1
+      - aiohttp==3.11.11
+      - aiosignal==1.3.2
+      - alembic==1.14.0
+      - annotated-types==0.7.0
+      - anthropic==0.49.0
+      - anyio==4.9.0
+      - appdirs==1.4.4
+      - apscheduler==3.10.4
+      - argon2-cffi==23.1.0
+      - argon2-cffi-bindings==21.2.0
+      - asgiref==3.8.1
+      - asttokens==3.0.0
+      - async-timeout==5.0.1
+      - attrdict==2.0.1
+      - attrs==25.3.0
+      - audioread==3.0.1
+      - authlib==1.4.1
+      - av==14.2.0
+      - azure-ai-documentintelligence==1.0.0
+      - azure-core==1.32.0
+      - azure-identity==1.20.0
+      - azure-storage-blob==12.24.1
+      - backoff==2.2.1
+      - bcrypt==4.3.0
+      - beautifulsoup4==4.13.3
+      - bidict==0.23.1
+      - bitarray==3.2.0
+      - bitsandbytes==0.45.4
+      - bitsandbytes-cuda117==0.26.0.post2
+      - black==25.1.0
+      - blinker==1.9.0
+      - boto3==1.35.53
+      - botocore==1.35.99
+      - build==1.2.2.post1
+      - cachetools==5.5.2
+      - certifi==2025.1.31
+      - cffi==1.17.1
+      - chardet==5.2.0
+      - charset-normalizer==3.4.1
+      - chroma-hnswlib==0.7.6
+      - chromadb==0.6.2
+      - click==8.1.8
+      - cmake==4.0.0
+      - colbert-ai==0.2.21
+      - colorama==0.4.6
+      - colorclass==2.2.2
+      - coloredlogs==15.0.1
+      - compressed-rtf==1.0.7
+      - cryptography==44.0.2
+      - ctranslate2==4.5.0
+      - dataclasses-json==0.6.7
+      - datasets==2.18.0
+      - decorator==5.2.1
+      - decord==0.6.0
+      - deepseek-vl==1.0.0
+      - deepseek-vl2==1.0.0
+      - deepspeed==0.16.5
+      - defusedxml==0.7.1
+      - deprecated==1.2.18
+      - diffusers==0.32.2
+      - dill==0.3.8
+      - distro==1.9.0
+      - dnspython==2.7.0
+      - docker==7.1.0
+      - docx2txt==0.8
+      - duckduckgo-search==7.3.2
+      - durationpy==0.9
+      - e==1.4.5
+      - easygui==0.98.3
+      - ebcdic==1.1.1
+      - ecdsa==0.19.1
+      - einops==0.8.0
+      - einx==0.3.0
+      - elastic-transport==8.17.1
+      - elasticsearch==8.17.1
+      - emoji==2.14.1
+      - encodec==0.1.1
+      - et-xmlfile==2.0.0
+      - eval-type-backport==0.2.2
+      - events==0.5
+      - executing==2.2.0
+      - extract-msg==0.54.0
+      - fake-useragent==1.5.1
+      - fastapi==0.115.7
+      - faster-whisper==1.1.1
+      - ffmpy==0.5.0
+      - filelock==3.18.0
+      - filetype==1.2.0
+      - firecrawl-py==1.12.0
+      - flash-attn==2.5.8
+      - flask==3.1.0
+      - flatbuffers==25.2.10
+      - fonttools==4.56.0
+      - fpdf2==2.8.2
+      - frozendict==2.4.6
+      - frozenlist==1.5.0
+      - fs==2.4.16
+      - fsspec==2024.2.0
+      - ftfy==6.2.3
+      - gcp-storage-emulator==2024.8.3
+      - git-python==1.0.3
+      - gitdb==4.0.12
+      - gitpython==3.1.44
+      - google-ai-generativelanguage==0.6.6
+      - google-api-core==2.24.2
+      - google-api-python-client==2.165.0
+      - google-auth==2.38.0
+      - google-auth-httplib2==0.2.0
+      - google-auth-oauthlib==1.2.1
+      - google-cloud-core==2.4.3
+      - google-cloud-storage==2.19.0
+      - google-crc32c==1.7.1rc1
+      - google-generativeai==0.7.2
+      - google-resumable-media==2.7.2
+      - googleapis-common-protos==1.63.2
+      - gradio==5.23.1
+      - gradio-client==1.8.0
+      - greenlet==3.1.1
+      - groovy==0.1.2
+      - grpcio==1.67.1
+      - grpcio-status==1.63.0rc1
+      - grpcio-tools==1.62.3
+      - h11==0.14.0
+      - h2==4.2.0
+      - hjson==3.1.0
+      - hpack==4.1.0
+      - html5lib==1.1
+      - httpcore==1.0.7
+      - httplib2==0.22.0
+      - httptools==0.6.4
+      - httpx==0.28.1
+      - httpx-sse==0.4.0
+      - huggingface-hub==0.30.2
+      - humanfriendly==10.0
+      - hyperframe==6.1.0
+      - icecream==2.1.4
+      - idna==3.10
+      - importlib-metadata==8.4.0
+      - importlib-resources==6.5.2
+      - iniconfig==2.1.0
+      - isodate==0.7.2
+      - itsdangerous==2.2.0
+      - janus==2.0.0
+      - jinja2==3.1.6
+      - jiter==0.9.0
+      - jmespath==1.0.1
+      - joblib==1.4.2
+      - jsonpatch==1.33
+      - jsonpointer==3.0.0
+      - kubernetes==32.0.1
+      - langchain==0.3.19
+      - langchain-community==0.3.18
+      - langchain-core==0.3.48
+      - langchain-text-splitters==0.3.7
+      - langdetect==1.0.9
+      - langfuse==2.44.0
+      - langsmith==0.3.18
+      - lark==1.1.9
+      - lazy-loader==0.4
+      - ldap3==2.9.1
+      - librosa==0.11.0
+      - lit==18.1.8
+      - llvmlite==0.44.0
+      - loguru==0.7.2
+      - lxml==5.3.1
+      - mako==1.3.9
+      - mantis-vl==0.0.5
+      - markdown==3.7
+      - markdown-it-py==3.0.0
+      - markupsafe==3.0.2
+      - marshmallow==3.26.1
+      - mdurl==0.1.2
+      - milvus-lite==2.4.12
+      - mmh3==5.1.0
+      - modelscope==1.24.0
+      - monotonic==1.6
+      - moto==5.1.1
+      - mpmath==1.3.0
+      - msal==1.32.0
+      - msal-extensions==1.3.1
+      - msgpack==1.1.0
+      - msoffcrypto-tool==5.4.2
+      - multidict==6.2.0
+      - multiprocess==0.70.16
+      - mypy-extensions==1.0.0
+      - nest-asyncio==1.6.0
+      - networkx==3.4.2
+      - ninja==1.11.1.4
+      - nltk==3.9.1
+      - numba==0.61.0
+      - numpy==1.26.4
+      - nvidia-cublas-cu11==11.11.3.6
+      - nvidia-cublas-cu12==12.4.5.8
+      - nvidia-cuda-cupti-cu11==11.8.87
+      - nvidia-cuda-cupti-cu12==12.4.127
+      - nvidia-cuda-nvrtc-cu11==11.8.89
+      - nvidia-cuda-nvrtc-cu12==12.4.127
+      - nvidia-cuda-runtime-cu11==11.8.89
+      - nvidia-cuda-runtime-cu12==12.4.127
+      - nvidia-cudnn-cu11==9.1.0.70
+      - nvidia-cudnn-cu12==9.1.0.70
+      - nvidia-cufft-cu11==10.9.0.58
+      - nvidia-cufft-cu12==11.2.1.3
+      - nvidia-curand-cu11==10.3.0.86
+      - nvidia-curand-cu12==10.3.5.147
+      - nvidia-cusolver-cu11==11.4.1.48
+      - nvidia-cusolver-cu12==11.6.1.9
+      - nvidia-cusparse-cu11==11.7.5.86
+      - nvidia-cusparse-cu12==12.3.1.170
+      - nvidia-cusparselt-cu12==0.6.2
+      - nvidia-ml-py==12.570.86
+      - nvidia-nccl-cu11==2.21.5
+      - nvidia-nccl-cu12==2.21.5
+      - nvidia-nvjitlink-cu12==12.4.127
+      - nvidia-nvtx-cu11==11.8.86
+      - nvidia-nvtx-cu12==12.4.127
+      - oauthlib==3.2.2
+      - olefile==0.47
+      - oletools==0.60.2
+      - ollama==0.4.7
+      - onnxruntime==1.21.0
+      - open-webui==0.5.20
+      - openai==1.8.0
+      - opencv-python==4.11.0.86
+      - opencv-python-headless==4.11.0.86
+      - openpyxl==3.1.5
+      - opensearch-py==2.8.0
+      - opentelemetry-api==1.27.0
+      - opentelemetry-exporter-otlp-proto-common==1.27.0
+      - opentelemetry-exporter-otlp-proto-grpc==1.27.0
+      - opentelemetry-instrumentation==0.48b0
+      - opentelemetry-instrumentation-asgi==0.48b0
+      - opentelemetry-instrumentation-fastapi==0.48b0
+      - opentelemetry-proto==1.27.0
+      - opentelemetry-sdk==1.27.0
+      - opentelemetry-semantic-conventions==0.48b0
+      - opentelemetry-util-http==0.48b0
+      - orjson==3.10.16
+      - overrides==7.7.0
+      - packaging==23.2
+      - pandas==2.2.3
+      - passlib==1.7.4
+      - pathspec==0.12.1
+      - pcodedmp==1.2.6
+      - peewee==3.17.9
+      - peewee-migrate==1.12.2
+      - pgvector==0.3.5
+      - pillow==11.1.0
+      - platformdirs==4.3.7
+      - playwright==1.49.1
+      - pluggy==1.5.0
+      - pooch==1.8.2
+      - portalocker==2.10.1
+      - posthog==3.21.0
+      - primp==0.14.0
+      - propcache==0.3.0
+      - proto-plus==1.26.1
+      - protobuf==4.25.6
+      - psutil==7.0.0
+      - psycopg2-binary==2.9.9
+      - py-cpuinfo==9.0.0
+      - py-partiql-parser==0.6.1
+      - pyarrow==19.0.1
+      - pyarrow-hotfix==0.6
+      - pyasn1==0.4.8
+      - pyasn1-modules==0.4.1
+      - pyclipper==1.3.0.post6
+      - pycparser==2.22
+      - pydantic==2.10.6
+      - pydantic-core==2.27.2
+      - pydantic-settings==2.8.1
+      - pydub==0.25.1
+      - pyee==12.0.0
+      - pygments==2.19.1
+      - pyjwt==2.10.1
+      - pymdown-extensions==10.14.2
+      - pymilvus==2.5.0
+      - pymongo==4.11.3
+      - pymysql==1.1.1
+      - pypandoc==1.13
+      - pyparsing==3.2.3
+      - pypdf==4.3.1
+      - pypika==0.48.9
+      - pyproject-hooks==1.2.0
+      - pytest==8.3.5
+      - pytest-docker==3.1.2
+      - python-dateutil==2.9.0.post0
+      - python-dotenv==1.1.0
+      - python-engineio==4.11.2
+      - python-iso639==2025.2.18
+      - python-jose==3.4.0
+      - python-magic==0.4.27
+      - python-multipart==0.0.18
+      - python-oxmsg==0.0.2
+      - python-pptx==1.0.0
+      - python-socketio==5.11.3
+      - pytube==15.0.0
+      - pytz==2025.2
+      - pyxlsb==1.0.10
+      - pyyaml==6.0.2
+      - qdrant-client==1.12.2
+      - qwen-omni-utils==0.0.3
+      - qwen-vl-utils==0.0.8
+      - rank-bm25==0.2.2
+      - rapidfuzz==3.12.2
+      - rapidocr-onnxruntime==1.3.24
+      - red-black-tree-mod==1.22
+      - redis==5.2.1
+      - regex==2024.11.6
+      - requests==2.32.3
+      - requests-oauthlib==2.0.0
+      - requests-toolbelt==1.0.0
+      - responses==0.25.7
+      - restrictedpython==8.0
+      - rich==13.9.4
+      - ring==0.10.1
+      - rsa==4.9
+      - rtfde==0.1.2
+      - ruff==0.11.2
+      - s3transfer==0.10.4
+      - safehttpx==0.1.6
+      - safetensors==0.5.3
+      - scikit-learn==1.6.1
+      - scipy==1.15.2
+      - semantic-version==2.10.0
+      - sentence-transformers==3.3.1
+      - sentencepiece==0.2.0
+      - shapely==2.0.7
+      - shellingham==1.5.4
+      - simple-websocket==1.1.0
+      - six==1.17.0
+      - smmap==5.0.2
+      - sniffio==1.3.1
+      - soundfile==0.13.1
+      - soupsieve==2.6
+      - soxr==0.5.0.post1
+      - sqlalchemy==2.0.38
+      - sse-starlette==2.2.1
+      - starlette==0.45.3
+      - sympy==1.13.1
+      - tenacity==9.0.0
+      - threadpoolctl==3.6.0
+      - tiktoken==0.9.0
+      - timm==1.0.15
+      - tokenizers==0.21.1
+      - tomlkit==0.13.2
+      - torch==2.6.0
+      - torchaudio==2.5.1+cu118
+      - torchvision==0.21.0
+      - tqdm==4.67.1
+      - transformers==4.51.3
+      - triton==3.2.0
+      - typer==0.15.2
+      - typing-extensions==4.12.2
+      - typing-inspect==0.9.0
+      - typing-inspection==0.4.0
+      - tzdata==2025.2
+      - tzlocal==5.3.1
+      - ujson==5.10.0
+      - unstructured==0.16.17
+      - unstructured-client==0.31.3
+      - uritemplate==4.1.1
+      - urllib3==2.3.0
+      - uvicorn==0.34.0
+      - uvloop==0.21.0
+      - validators==0.34.0
+      - vector-quantize-pytorch==1.22.3
+      - vocos==0.1.0
+      - watchfiles==1.0.4
+      - wcwidth==0.2.13
+      - webencodings==0.5.1
+      - websocket-client==1.8.0
+      - websockets==15.0.1
+      - werkzeug==3.1.3
+      - wirerope==1.0.0
+      - wrapt==1.17.2
+      - wsproto==1.2.0
+      - xformers==0.0.29.post3
+      - xlrd==2.0.1
+      - xlsxwriter==3.2.2
+      - xmltodict==0.14.2
+      - xxhash==3.5.0
+      - yarl==1.18.3
+      - youtube-transcript-api==0.6.3
+      - zipp==3.21.0
+      - zstandard==0.23.0
+prefix: /home/lunet/ttjl7/anaconda3/envs/nips

evaluate_0_shot.py.py

@@ -0,0 +1,110 @@
+import os
+import torch
+from tqdm import tqdm
+from transformers import AutoModelForCausalLM
+from deepseek_vl.models import VLChatProcessor, MultiModalityCausalLM
+from deepseek_vl.utils.io import load_pil_images
+from PIL import Image
+
+
+model_path = "deepseek-ai/deepseek-vl-7b-chat"
+vl_chat_processor: VLChatProcessor = VLChatProcessor.from_pretrained(model_path)
+tokenizer = vl_chat_processor.tokenizer
+
+vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    cache_dir=".",
+    trust_remote_code=True
+)
+vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval()
+
+
+question = (
+    "1. Identify the type of fruit or crop shown in the image.  "
+    "2. Determine its current growth stage. (Options: unripe, mature, pest-damaged, rotten)  "
+    "3. Recommend the farmer’s next action. (Options: keep for further growth, try to recover it, discard it)  "
+    "4. Evaluate the consumer’s willingness to consume this fruit, from 1 (very unlikely) to 100 (very likely). "
+    "Please respond in the following format:\n"
+    "Type: [Fruit/Crop Name]  Growth Stage: [unripe / mature / pest-damaged / rotten]  "
+    "Recommendation: [keep for further growth / try to recover it /picking it/ discard it]  Consumer Score: [1-100]"
+)
+
+
+root_folder = "../data/"
+output_root = "result"
+os.makedirs(output_root, exist_ok=True)
+
+
+for fruit in os.listdir(root_folder):
+    fruit_path = os.path.join(root_folder, fruit)
+    if not os.path.isdir(fruit_path):
+        continue
+
+    for subfolder in os.listdir(fruit_path):
+        subfolder_path = os.path.join(fruit_path, subfolder)
+        if not os.path.isdir(subfolder_path):
+            continue
+
+        image_files = [f for f in os.listdir(subfolder_path) if f.lower().endswith(('.jpg', '.jpeg', '.png', '.bmp'))]
+        if not image_files:
+            continue
+
+        output_file = os.path.join(output_root, f"{fruit}_{subfolder}.txt")
+
+
+        with open(output_file, "w", encoding="utf-8") as fout:
+            for image_file in tqdm(image_files, desc=f"{fruit}/{subfolder}"):
+                image_path = os.path.join(subfolder_path, image_file)
+
+                try:
+
+                    conversation = [
+                        {
+                            "role": "User",
+                            "content": "<image_placeholder>" + question,
+                            "images": [image_path],
+                        },
+                        {"role": "Assistant", "content": ""}
+                    ]
+
+
+                    pil_images = load_pil_images(conversation)
+
+      
+                    prepare_inputs = vl_chat_processor(
+                        conversations=conversation,
+                        images=pil_images,
+                        force_batchify=True
+                    ).to(vl_gpt.device)
+
+                    inputs_embeds = vl_gpt.prepare_inputs_embeds(**prepare_inputs)
+
+      
+                    outputs = vl_gpt.language_model.generate(
+                        inputs_embeds=inputs_embeds,
+                        attention_mask=prepare_inputs.attention_mask,
+                        pad_token_id=tokenizer.eos_token_id,
+                        bos_token_id=tokenizer.bos_token_id,
+                        eos_token_id=tokenizer.eos_token_id,
+                        max_new_tokens=512,
+                        do_sample=False,
+                        use_cache=True
+                    )
+
+                    answer = tokenizer.decode(outputs[0].cpu().tolist(), skip_special_tokens=True).strip()
+
+       
+                    fout.write(f"{'=' * 25} IMAGE START {'=' * 25}\n")
+                    fout.write(f"🖼️ Image Name: {image_file}\n")
+                    fout.write(f"📝 Answer:\n{answer}\n")
+                    fout.write(f"{'=' * 25} IMAGE END {'=' * 25}\n\n")
+                    print(f"✅ {image_file} => {answer.splitlines()[0]}")
+
+                except Exception as e:
+                    print(f"[ERROR] {fruit}/{subfolder}/{image_file}: {e}")
+                    fout.write(f"{'=' * 25} IMAGE START {'=' * 25}\n")
+                    fout.write(f"🖼️ Image Name: {image_file}\n")
+                    fout.write(f"❌ ERROR: {e}\n")
+                    fout.write(f"{'=' * 25} IMAGE END {'=' * 25}\n\n")
+
+

evaluate_1_shot.py.py

@@ -0,0 +1,136 @@
+# -*- coding: utf-8 -*-
+
+
+import os, gc, torch
+from tqdm import tqdm
+from transformers import AutoModelForCausalLM
+from deepseek_vl.models import VLChatProcessor, MultiModalityCausalLM
+from deepseek_vl.utils.io import load_pil_images
+
+
+chinese_to_english = {
+    'strawberry', 'tomato', 'guava', 'dragon fruit',
+    'orange',   'pear',     'lychee',   'mango',
+    'kiwi',    'papaya', 'apple',    'grape',
+    'pomegranate','peach', 'banana',   'pomelo'
+}
+
+stage_to_english = {
+    'unripe', 'mature', 'pest-damaged', 'rotten'
+}
+
+recommendation_map = {
+    'unripe': 'keep for further growth',
+    'mature': 'picking it',
+    'pest-damaged': 'try to recover it',
+    'rotten': 'discard it'
+}
+
+score_map = {
+    'unripe': 30, 'mature': 85, 'pest-damaged': 20, 'rotten': 5
+}
+
+
+model_path  = "deepseek-ai/deepseek-vl-7b-chat" 
+root_folder = "../data/"                       #
+output_root = "result_1shot"
+os.makedirs(output_root, exist_ok=True)
+
+print("🚀 Loading DeepSeek‑VL‑7B ...")
+vl_chat_processor: VLChatProcessor = VLChatProcessor.from_pretrained(model_path)
+tokenizer = vl_chat_processor.tokenizer
+vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained(
+    model_path, cache_dir=".", trust_remote_code=True
+).to(torch.bfloat16).cuda().eval()
+
+
+
+question = (
+    "1. Identify the type of fruit or crop shown in the image.  \n"
+    "2. Determine its current growth stage. (Options: unripe, mature, pest-damaged, rotten)  \n"
+    "3. Recommend the farmer’s next action. (Options: keep for further growth, try to recover it, discard it)  \n"
+    "4. Evaluate the consumer’s willingness to consume this fruit, from 1 (very unlikely) to 100 (very likely).\n"
+    "Please respond in the following format:\n"
+    "Type: [Fruit/Crop Name]  Growth Stage: [unripe / mature / pest-damaged / rotten]  "
+    "Recommendation: [keep for further growth / pick it /try to recover it / discard it]  Consumer Score: [1-100]"
+)
+
+
+
+def build_stage_example(fruit_dir: str, fruit_cn: str, stage_cn: str):
+    stage_path = os.path.join(fruit_dir, stage_cn)
+    imgs = sorted([f for f in os.listdir(stage_path)
+                   if f.lower().endswith((".png", ".jpg", ".jpeg", ".bmp"))])
+    if not imgs:
+        return []
+
+    img_path = os.path.join(stage_path, imgs[0])   # 
+
+    fruit_en = chinese_to_english.get(fruit_cn, fruit_cn)
+    stage_en = stage_to_english.get(stage_cn, "mature")
+    assistant_reply = (
+        f"Type: {fruit_en}  Growth Stage: {stage_en}  "
+        f"Recommendation: {recommendation_map[stage_en]}  "
+        f"Consumer Score: {score_map[stage_en]}"
+    )
+
+
+    return [
+        {"role": "User", "content": "<image_placeholder>\n" + question, "images": [img_path]},
+        {"role": "Assistant", "content": assistant_reply},
+    ]
+
+
+for fruit_cn in os.listdir(root_folder):
+    fruit_path = os.path.join(root_folder, fruit_cn)
+    if not os.path.isdir(fruit_path):
+        continue
+
+    for stage_cn in os.listdir(fruit_path):
+        stage_path = os.path.join(fruit_path, stage_cn)
+        if not os.path.isdir(stage_path):
+            continue
+
+        img_files = sorted([f for f in os.listdir(stage_path)
+                            if f.lower().endswith((".png", ".jpg", ".jpeg", ".bmp"))])
+
+
+        example_msgs = build_stage_example(fruit_path, fruit_cn, stage_cn)
+        if not example_msgs:
+            continue
+
+        output_file = os.path.join(output_root, f"{fruit_cn}_{stage_cn}.txt")
+        with open(output_file, "w", encoding="utf-8") as fout:
+            for img_name in tqdm(img_files, desc=f"{fruit_cn}/{stage_cn}"):
+                img_path = os.path.join(stage_path, img_name)
+                if img_path in example_msgs[0]["images"]:
+                    continue  
+
+                conversation = example_msgs + [
+                    {"role": "User", "content": "<image_placeholder>\n" + question, "images": [img_path]},
+                    {"role": "Assistant", "content": ""},
+                ]
+                try:
+                    with torch.no_grad():
+                        pil_imgs = load_pil_images(conversation)
+                        prep_in  = vl_chat_processor(conversations=conversation, images=pil_imgs, force_batchify=True).to(vl_gpt.device)
+                        embeds   = vl_gpt.prepare_inputs_embeds(**prep_in)
+                        out_ids  = vl_gpt.language_model.generate(inputs_embeds=embeds, attention_mask=prep_in.attention_mask,
+                                                                  pad_token_id=tokenizer.eos_token_id,
+                                                                  bos_token_id=tokenizer.bos_token_id,
+                                                                  eos_token_id=tokenizer.eos_token_id,
+                                                                  max_new_tokens=256, do_sample=False, use_cache=True)
+                        answer   = tokenizer.decode(out_ids[0], skip_special_tokens=True).strip()
+
+                    print(f"✅ {img_name} → {answer.splitlines()[0]}")
+                    fout.write("="*25 + " IMAGE START " + "="*25 + "\n")
+                    fout.write(f"🖼️ Image Name: {img_name}\n")
+                    fout.write(f"📝 Answer:\n{answer}\n")
+                    fout.write("="*25 + " IMAGE END " + "="*25 + "\n\n")
+                except Exception as e:
+                    print(f"[ERROR] {fruit_cn}/{stage_cn}/{img_name}: {e}")
+
+                finally:
+                    torch.cuda.empty_cache()
+                    gc.collect()
+

requirements.txt

@@ -0,0 +1,377 @@
+addict==2.4.0
+aiobotocore @ file:///croot/aiobotocore_1682536655331/work
+aiofiles @ file:///croot/aiofiles_1683773582346/work
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+aioitertools @ file:///tmp/build/80754af9/aioitertools_1607109665762/work
+aiosignal @ file:///tmp/build/80754af9/aiosignal_1637843061372/work
+aiosqlite @ file:///croot/aiosqlite_1683773899903/work
+alabaster @ file:///home/ktietz/src/ci/alabaster_1611921544520/work
+aliyun-python-sdk-core==2.14.0
+aliyun-python-sdk-kms==2.16.2
+anaconda-catalogs @ file:///croot/anaconda-catalogs_1685727283692/work
+anaconda-client==1.12.0
+anaconda-navigator==2.4.2
+anaconda-project @ file:///work/ci_py311/anaconda-project_1676846728333/work
+anyio @ file:///work/ci_py311/anyio_1676823771847/work/dist
+appdirs==1.4.4
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+argon2-cffi-bindings @ file:///work/ci_py311/argon2-cffi-bindings_1676823553406/work
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+astroid @ file:///work/ci_py311/astroid_1676920975848/work
+astropy @ file:///work/ci_py311_2/astropy_1679335217840/work
+asttokens @ file:///opt/conda/conda-bld/asttokens_1646925590279/work
+async-timeout @ file:///work/ci_py311/async-timeout_1676826962453/work
+atomicwrites==1.4.0
+attrs @ file:///work/ci_py311/attrs_1676822758931/work
+Automat @ file:///tmp/build/80754af9/automat_1600298431173/work
+autopep8 @ file:///opt/conda/conda-bld/autopep8_1650463822033/work
+Babel @ file:///work/ci_py311/babel_1676825020543/work
+backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
+backports.functools-lru-cache @ file:///tmp/build/80754af9/backports.functools_lru_cache_1618170165463/work
+backports.tempfile @ file:///home/linux1/recipes/ci/backports.tempfile_1610991236607/work
+backports.weakref==1.0.post1
+bcrypt @ file:///work/ci_py311/bcrypt_1676825144644/work
+beautifulsoup4 @ file:///croot/beautifulsoup4-split_1681493039619/work
+binaryornot @ file:///tmp/build/80754af9/binaryornot_1617751525010/work
+black @ file:///croot/black_1680737249031/work
+bleach @ file:///opt/conda/conda-bld/bleach_1641577558959/work
+bokeh @ file:///croot/bokeh_1690546085683/work
+boltons @ file:///work/ci_py311/boltons_1677685195580/work
+botocore @ file:///croot/botocore_1682527998176/work
+Bottleneck @ file:///work/ci_py311/bottleneck_1676827011612/work
+brotlipy==0.7.0
+certifi @ file:///croot/certifi_1690232220950/work/certifi
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+charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
+click @ file:///work/ci_py311/click_1676825163161/work
+cloudpickle @ file:///croot/cloudpickle_1683040006038/work
+clyent==1.2.2
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+comm @ file:///work/ci_py311/comm_1677709131612/work
+conda @ file:///croot/conda_1690494963117/work
+conda-build @ file:///croot/conda-build_1690381780072/work
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+conda-package-handling @ file:///croot/conda-package-handling_1690999929514/work
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+datashape==0.5.4
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+diff-match-patch @ file:///Users/ktietz/demo/mc3/conda-bld/diff-match-patch_1630511840874/work
+dill @ file:///work/ci_py311/dill_1676827712960/work
+distributed @ file:///croot/distributed_1686866039819/work
+docstring-to-markdown @ file:///work/ci_py311/docstring-to-markdown_1676851973684/work
+docutils @ file:///work/ci_py311/docutils_1676822773036/work
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+et-xmlfile==1.1.0
+executing @ file:///opt/conda/conda-bld/executing_1646925071911/work
+fastjsonschema @ file:///work/ci_py311_2/python-fastjsonschema_1679340124475/work
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+frozenlist @ file:///work/ci_py311/frozenlist_1676825229010/work
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+gensim @ file:///work/ci_py311/gensim_1677033391129/work
+glob2 @ file:///home/linux1/recipes/ci/glob2_1610991677669/work
+gmpy2 @ file:///work/ci_py311/gmpy2_1676839849213/work
+greenlet @ file:///work/ci_py311/greenlet_1676825247229/work
+h5py @ file:///work/ci_py311/h5py_1676904017107/work
+HeapDict @ file:///Users/ktietz/demo/mc3/conda-bld/heapdict_1630598515714/work
+holoviews @ file:///croot/holoviews_1690477566927/work
+huggingface-hub @ file:///croot/huggingface_hub_1686693679113/work
+hvplot @ file:///croot/hvplot_1685998166135/work
+hyperlink @ file:///tmp/build/80754af9/hyperlink_1610130746837/work
+idna @ file:///work/ci_py311/idna_1676822698822/work
+imagecodecs @ file:///work/ci_py311_2/imagecodecs_1679336294425/work
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+incremental @ file:///tmp/build/80754af9/incremental_1636629750599/work
+inflection==0.5.1
+iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
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+lazy-object-proxy @ file:///work/ci_py311/lazy-object-proxy_1676827255418/work
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+mkl-fft==1.3.6
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+pyarrow==11.0.0
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