Hello! I am new user. I need help determining why inference on an image fails. I’m certain I’m missing something simple. I apologize if this question is redundant, but I can’t seem to pin this down.
I have success using “HailoRT User Guide: Section 5.5: Python inference Tutorial - Single Model” & success using the randomly generated data. I cannot determine why, after resizing / altering the image, that the inference cannot handle the difference of data expectations. The change in data is just an image from a cannonical dataset.
Error is located within “infer_pipeline.infer(input_data).”
Hailort.log error lines:
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[2025-01-17 18:15:23.916] [5379] [HailoRT] [error] [inference_pipeline.cpp:274] [verify_memory_view_size] CHECK failed - Memory size of vstream yv82/input_layer1 does not match the frame count! (Expected 3145728000, got 4915200)
[2025-01-17 18:15:23.916] [5379] [HailoRT] [error] [inference_pipeline.cpp:201] [infer] CHECK_SUCCESS failed with status=HAILO_INVALID_ARGUMENT(2)
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Software Development Kit via Manual Installation on a Raspberry Pi 5. Runtime environment is the following:
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Hailortcli -fw-control identity:
Executing on device: 0000:01:00.0
Identifying board
Control Protocol Version: 2
Firmware Version: 4.19.0 (release,app,extended context switch buffer)
Logger Version: 0
Board Name: Hailo-8
Device Architecture: HAILO8L
Serial Number: HLDDLBB243301363
Part Number: HM21LB1C2LAE
Product Name: HAILO-8L AI ACC M.2 B+M KEY MODULE EXT TMP
“”"
Thank you for any help!