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Converting from csv to record error in tensorflow durng transfer learing object detection

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0

Currently I am following this tutorial on Windows 10
and I have the requirements. But when I come to the step
Converting from *.csv to *.record I am getting error

This is the error I am getting

I tried the solutions on github by changing
classes_text.append(row['class'].encode('utf8')) to
classes_text.append(repr(row['class']))
in the line 80 however it did not work

Csv Sample file

filename,width,height,class,xmin,ymin,xmax,ymax
6eadc7dfeb4fa757492ae20ff67edd50.jpg,dog,416,416,167,196,283,413
9d57e44f2028317e57cc4a3c2c836dd4.jpg,dog,416,416,56,37,101,111

python generate_tfrecord.py --label=dog--csv_input=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain_labels.csv --img_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoimagestrain --output_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain.record
_sys.exit(main(argv))
File "generate_tfrecord_org.py", line 106, in main
tf_example = create_tf_example(group, path)
File "generate_tfrecord_org.py", line 80, in create_tf_example
classes_text.append(row['class'].encode('utf8'))
AttributeError: 'int' object has no attribute 'encode'

I want the code return me *.record file but it gives the error and creates empty *.record file

python tensorflow protocol-buffers

share|improve this question

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges

add a comment | 

0

Currently I am following this tutorial on Windows 10
and I have the requirements. But when I come to the step
Converting from *.csv to *.record I am getting error

This is the error I am getting

I tried the solutions on github by changing
classes_text.append(row['class'].encode('utf8')) to
classes_text.append(repr(row['class']))
in the line 80 however it did not work

Csv Sample file

filename,width,height,class,xmin,ymin,xmax,ymax
6eadc7dfeb4fa757492ae20ff67edd50.jpg,dog,416,416,167,196,283,413
9d57e44f2028317e57cc4a3c2c836dd4.jpg,dog,416,416,56,37,101,111

python generate_tfrecord.py --label=dog--csv_input=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain_labels.csv --img_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoimagestrain --output_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain.record
_sys.exit(main(argv))
File "generate_tfrecord_org.py", line 106, in main
tf_example = create_tf_example(group, path)
File "generate_tfrecord_org.py", line 80, in create_tf_example
classes_text.append(row['class'].encode('utf8'))
AttributeError: 'int' object has no attribute 'encode'

I want the code return me *.record file but it gives the error and creates empty *.record file

python tensorflow protocol-buffers

share|improve this question

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges

add a comment | 

Currently I am following this tutorial on Windows 10
and I have the requirements. But when I come to the step
Converting from *.csv to *.record I am getting error

This is the error I am getting

I tried the solutions on github by changing
classes_text.append(row['class'].encode('utf8')) to
classes_text.append(repr(row['class']))
in the line 80 however it did not work

Csv Sample file

filename,width,height,class,xmin,ymin,xmax,ymax
6eadc7dfeb4fa757492ae20ff67edd50.jpg,dog,416,416,167,196,283,413
9d57e44f2028317e57cc4a3c2c836dd4.jpg,dog,416,416,56,37,101,111

python generate_tfrecord.py --label=dog--csv_input=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain_labels.csv --img_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoimagestrain --output_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain.record
_sys.exit(main(argv))
File "generate_tfrecord_org.py", line 106, in main
tf_example = create_tf_example(group, path)
File "generate_tfrecord_org.py", line 80, in create_tf_example
classes_text.append(row['class'].encode('utf8'))
AttributeError: 'int' object has no attribute 'encode'

I want the code return me *.record file but it gives the error and creates empty *.record file

python tensorflow protocol-buffers

share|improve this question

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges

filename,width,height,class,xmin,ymin,xmax,ymax
6eadc7dfeb4fa757492ae20ff67edd50.jpg,dog,416,416,167,196,283,413
9d57e44f2028317e57cc4a3c2c836dd4.jpg,dog,416,416,56,37,101,111

python generate_tfrecord.py --label=dog--csv_input=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain_labels.csv --img_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoimagestrain --output_path=C:tensorflow_gpuTensorFlowmodelsspacetraining_demoannotationstrain.record
_sys.exit(main(argv))
File "generate_tfrecord_org.py", line 106, in main
tf_example = create_tf_example(group, path)
File "generate_tfrecord_org.py", line 80, in create_tf_example
classes_text.append(row['class'].encode('utf8'))
AttributeError: 'int' object has no attribute 'encode'

share|improve this question

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges

share|improve this question

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

edited Mar 27 at 14:00

Dere_negn

15722 silver badges99 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges

asked Mar 27 at 12:27

Johnyy66554Johnyy66554

3466 bronze badges