{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "psrben-visionhope--classify-images-with-visionhope-checkpoint",
 "repo": "PSRben/VisionHOPE",
 "repo_url": "https://github.com/PSRben/VisionHOPE",
 "repo_slug": "psrben-visionhope",
 "title": "Classify images with a pretrained Vision HOPE model",
 "page_title": "How to classify images with a pretrained Vision HOPE model with Vision HOPE",
 "summary": "Load a Vision HOPE ImageNet-1K checkpoint and get 1000-class logits for your own images.",
 "who": "A researcher or engineer with a CUDA GPU who needs a quick ImageNet-style image classifier to test or compare against other backbones.",
 "problem": "Training a visual backbone from scratch takes far more time than a first test, so you need a working pretrained model to start from.",
 "outcome": "You have a loaded VisionHOPE-S model that returns logits of shape [1, 1000] for an input image tensor, ready for your own preprocessing and labels.",
 "steps": [
  "Run `python -m pip install torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu121` from the repository root. (inferred, check the README)",
  "Run `python -m pip install -r requirements/classification.txt` and then `python -m pip install --no-deps -e .`.",
  "Run `python -m pip install --upgrade huggingface_hub` and then `hf download PSRben/VisionHOPE visionhope_small.pth --local-dir weights`.",
  "In Python, call `create_model(\"visionhope_small\", checkpoint_path=\"weights/visionhope_small.pth\").cuda().eval()` from `visionhope.models`. (inferred, check the README)",
  "Run a forward pass under `torch.inference_mode()` on a [1, 3, 224, 224] CUDA tensor and check that the output shape is [1, 1000]."
 ],
 "agent_prompt": "Using the VisionHOPE repo (PSRben/VisionHOPE), install the classification requirements, download visionhope_small.pth into weights/, and load it with create_model. Run one forward pass on <image path> resized to 224 x 224 and report the top-5 ImageNet class indices. Verify the output tensor has shape [1, 1000].",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The install requires an NVIDIA GPU with CUDA 12.1 and a working nvcc, and the CUDA extensions compile on first use, so setup can be slow on a fresh machine.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Linux with an NVIDIA GPU, the CUDA toolkit (including nvcc), and a C++ compiler",
  "Python 3.10 (recommended) and CUDA 12.1",
  "Pretrained checkpoint from Hugging Face, GitHub Releases, or Baidu Netdisk",
  "For dataset tasks: ImageNet-1K, COCO 2017, or ADE20K downloaded from their official websites"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/psrben-visionhope/classify-images-with-visionhope-checkpoint/",
 "md": "https://dedupedai.com/use-cases/psrben-visionhope/classify-images-with-visionhope-checkpoint/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/psrben-visionhope--classify-images-with-visionhope-checkpoint.json",
 "api_version": "v1"
}