Draft
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Ticket
Link to Github Issue
Problem description
Currently, model inputs are handled by links from different sources.This issue aims to standardize input handling across all models by using the Hugging Face load_dataset API as the primary source of input data
What's changed
Modified monodepth2, mplug_owl2, ssd512, blip/paddlepaddle,minicpm_o_2_6, rcnn, ultra_fast_lane_detection, vovnet,vgg/onnx, and olm_ocr models to use load_dataset from HuggingFace instead of get_file for image inputs
Checklist
I have attached the logs for your reference:
test_inputs_set8.py
test_monodepth2.log
test_mplug_owl2.log
test_olm_ocr.log
test_rcnn.log
test_ssd512.log
test_ultra_fast_lane_detection.log
test_vgg_onnx.log
test_vovnet.log