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Hi,
I use the tflite file and pass the vela (3.9.0 & 3.10.0) and run on ml-embedded-evaluation-kit to see the result. Finally, the result of output tensor is really different from the tflite without passing vela.
the file `yolox_ti_body_head_hand_t_1x3x128x160_bgr_uint8.tflite` is the original tflite file.
`yolox_ti_body_head_hand_n_1x3x128x160_bgr_uint8_vela.tflite` is the tflite file which pass vela 3.9.0
`yolox_ti_body_head_hand_n_1x3x128x160_bgr_uint8_vela_3_10_0.tflite` is the tflite file which pass vela 3.10.0
I run the same image on python interpreter using `yolox_ti_body_head_hand_t_1x3x128x160_bgr_uint8.tflite` which result is the same as on ml-embedded-evaluation-kit using `yolox_ti_body_head_hand_t_1x3x128x160_bgr_uint8.tflite`.
But while using the tflite passing vela, the result is really different.
Do you have any idea?
Sincerely,
Kris
Hi Kris,
Are you still having this issue? I have someone from the Vela team I can connect you with, but I think you'll need to agree some T&Cs before they can look at your code. If you still need the help and you're willing to sing T&Cs please email developer at arm dot com