7 Commits

Author SHA1 Message Date
dependabot[bot]
26acdd7c67 Bump tensorflow from 2.1 to 2.4.0
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.1 to 2.4.0.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v2.1.0...v2.4.0)

Signed-off-by: dependabot[bot] <support@github.com>
2020-12-23 02:39:31 +00:00
Daniel Saavedra
72815458df Update requirements.txt 2020-12-22 23:38:58 -03:00
Daniel Saavedra
5d83f6f0c2 Merge pull request #34 from RentadroneCL/yolo3_tensorflow2
Read Shape Mesas
2020-12-18 16:27:35 -03:00
Daniel Saavedra
e7a2bd0399 Merge pull request #33 from RentadroneCL/yolo3_tensorflow2
Change Enumeration
2020-12-17 18:47:48 -03:00
Daniel Saavedra
050fa55ae9 Update README.md 2020-12-04 15:36:34 -03:00
Daniel Saavedra
166946da4a Update README.md 2020-12-01 22:55:40 -03:00
Daniel Saavedra
21bf2b883b Merge pull request #31 from RentadroneCL/yolo3_tensorflow2
Yolo3 tensorflow2
2020-12-01 22:53:40 -03:00
3 changed files with 4 additions and 3 deletions

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@@ -21,7 +21,9 @@ Enumeration_KML.ipynb
This algorithm uses the division of the panels to classify them individually if they are with any fault.
## Train Model
In the Classifier folder there is the training of the model `` `Train_Classifier_DEEP_SVC.ipynb``` which is based on the union of a deep learning model pre-trained with Imagenet together with an SVM model.
In the Classifier folder there is the training of the model
[Train_Classifier_DEEP_SVC](Classifier/Train_Classifier_DEEP_SVC.ipynb)
which is based on the union of a deep learning model pre-trained with Imagenet together with an SVM model.
## Example

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@@ -9,5 +9,4 @@ matplotlib==3.2.2
scipy==1.4.1
ipython==7.19.0
scikit_learn==0.23.2
skimage==0.0

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@@ -11,7 +11,7 @@ protobuf
PyYAML
scipy
six
tensorflow==2.1
tensorflow==2.4.0
termcolor
tqdm
Werkzeug