Comments (5)
For windows if you are using anaconda add slim folder to
...\Anaconda3\envs\{Environment name}\Lib\site-packages\object_detection-0.1-py3.6.egg
and change
from deployment import model_deploy
to
from slim.deployment import model_deploy
from tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10.
Hi, did you already try the steps listed in the tutorial's Appendix? https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10#appendix-common-errors
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I went through the steps listed, but the same error occurred. Is there any other way to resolve this issue?
Thanks
from tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10.
its easy :
in folder /models/research
~/.../models/research$ python setup.py build
~/.../models/research$ python setup.py install
2-
-this export commande in linux; if you are woking on windows check (2e. Configure PYTHONPATH environment variable) in : https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10#2e-configure-pythonpath-environment-variable
export PYTHONPATH=$PYTHONPATH:/home/najat/anaconda3/test22222222/models
export PYTHONPATH=$PYTHONPATH:/home/najat/anaconda3/test22222222/models/research
export PYTHONPATH=$PYTHONPATH:/home/najat/anaconda3/test22222222/models/research/slim
3- in folder /models/research/object_detection:
~/.../models/research/object_detection$ python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
thats all 👍
from tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10.
For windows if you are using anaconda add slim folder to
...\Anaconda3\envs{Environment name}\Lib\site-packages\object_detection-0.1-py3.6.egg
and change
from deployment import model_deploy
to
from slim.deployment import model_deploy
can u tell how to open .egg file and change it
from tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10.
Related Issues (20)
- module has no attribute 'return_coordinates'
- Step 5b: How to change the files, if you use the newer (TF2) ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8
- ImportError: cannot import name 'resnet' from 'tensorflow.python.keras.applications
- TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
- No module named 'nets' HOT 1
- NotImplementedError: Cannot convert a symbolic Tensor (cond_2/strided_slice:0) to a numpy array.
- 2f the path C:\tensorflow1\models\research cannot found setup.py HOT 1
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xc1 in position 97: invalid start byte
- Train using images instead of tfrecord?
- TypeError: can't pickle _thread.RLock objects
- object_detection_tutorial.ipynb HOT 2
- Part 4:python generate_tfRecord.py --csv_input=images\ train_allags.csv --image_dir=images\train --output_path=train HOT 1
- raise ValueError('You must supply the path to save to with --output_file') ValueError: You must supply the path to save to with --output_file HOT 1
- raise ValueError('You must supply the path to save to with --output_file') ValueError: You must supply the path to save to with --output_file
- Files missing HOT 2
- mAP score HOT 1
- How to convert .pb model file to .tflite to use in App Mobile (Android) HOT 1
- ModuleNotFoundError: No module named 'tensorflow.compat' HOT 1
- problem with running python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
- Does it works for intel gpu training?
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