Open TingRui608470158 opened 1 year ago
Hi @TingRui608470158,
Can you please try with tensorflow version 2.10.0 and I have tried to get inference before converting into tflite model using the provided model config and saved weights. Please find the gist here, I took some random example for detecting hand. If possible please provide a code snippet in colab to reproduce the issue reported here. Thanks!
This is inference from .pb model pb inference This is inference from .tflite model tflite inference
This is inference from .pb model pb inference This is inference from .tflite model tflite inference
did u figure out to fix it or not yet ?
Prerequisites
Please answer the following questions for yourself before submitting an issue.
1. The entire URL of the file you are using
model url inference file url
2. Describe the bug
I used the mobilenetv2-ssd model to training hand, the accuracy was great. But when I converted to tflite, the accuracy was lower then 0.1.
3. Steps to reproduce
4. Expected behavior
I expected .tflite model would close to the .pb model.
5. Additional context
(raytf2) pt@pt:~/Desktop/mobilenetv2_lstm_hand_tracking/hand_tracking/exported-models$ python inference_tflite.py labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05585384 0.04902783 0.04238626 0.04060924 0.03883892 0.03762564 0.03376037 0.03239408 0.03198031 0.03174883]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05173582 0.04615015 0.04215723 0.0416927 0.03777227 0.03768802 0.03518435 0.03341618 0.0313746 0.03085464]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.06328875 0.04797256 0.04517871 0.04509196 0.04159552 0.03902051 0.03178978 0.03175989 0.03090507 0.03037795]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05530125 0.05108589 0.04858315 0.04803067 0.04241174 0.04087931 0.03293553 0.03216282 0.03198099 0.03124663]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05303013 0.04958305 0.04904506 0.04827413 0.04277271 0.03806984 0.03334618 0.03272745 0.03179631 0.03035322]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05792895 0.04831615 0.04743657 0.04226294 0.04187098 0.03745279 0.03289929 0.03248784 0.0316222 0.03100973]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.06844547 0.05175066 0.04836395 0.04774806 0.04215744 0.03778329 0.03441754 0.03245634 0.03231528 0.03219658]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05703849 0.04883415 0.04861888 0.04643914 0.0429863 0.04231891 0.03429419 0.03320628 0.03275487 0.03186417]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05660558 0.05178571 0.04886103 0.04637614 0.04141521 0.03879005 0.03428188 0.03371784 0.03368044 0.03280622]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05879703 0.0522404 0.0507392 0.04846442 0.04132211 0.03648785 0.03429508 0.03302094 0.03267851 0.03246176]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05659071 0.05528083 0.05210385 0.04548982 0.04292649 0.03602132 0.03487003 0.03336293 0.03299844 0.03278598]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.06528211 0.04721582 0.04661804 0.04336995 0.03919598 0.03808099 0.03531608 0.03371251 0.033694 0.03317246]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.0630435 0.04834306 0.04575783 0.04196414 0.03964949 0.03526503 0.03487161 0.03387254 0.03349206 0.03049976]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05545932 0.05177051 0.04693398 0.04062477 0.03917143 0.03553578 0.03469676 0.03296298 0.03258851 0.03216276]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.06339008 0.05630183 0.04607436 0.04030454 0.03916267 0.03508255 0.03450668 0.03430665 0.03356859 0.03223071]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.06059161 0.04968816 0.04589522 0.04554117 0.03722581 0.03665674 0.03453508 0.03406468 0.03367111 0.03244883]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.06927675 0.05016017 0.0469088 0.04455945 0.0390085 0.03840679 0.03504181 0.03490728 0.03482383 0.03470334]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05538836 0.05260566 0.04687396 0.0427742 0.04226086 0.03842244 0.0351139 0.03229955 0.03189397 0.03177029]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05748206 0.04797304 0.04609767 0.04582769 0.04476103 0.0384914 0.03759754 0.03701007 0.03528932 0.03293702]] labels = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] scores = [[0.05729544 0.04858655 0.04721498 0.0436708 0.03922707 0.03854957
6. System information