Commit 71939036 authored by Fábio Prestes's avatar Fábio Prestes

Finalizacao do readme? v3

parent 5480e063
#### __Title: Pynovisao__ ## __Title: Pynovisao__
## Authors (email): #### Authors (email):
- Adair da Silva Oliveira Junior - Adair da Silva Oliveira Junior
- Alessandro dos Santos Ferreira - Alessandro dos Santos Ferreira
- Diego André Sant'Ana (diegoandresantana@gmail.com) - Diego André Sant'Ana (diegoandresantana@gmail.com)
...@@ -33,8 +33,9 @@ NPOSL-30 https://opensource.org/licenses/NPOSL-3.0 - Free for non-profit use (E. ...@@ -33,8 +33,9 @@ NPOSL-30 https://opensource.org/licenses/NPOSL-3.0 - Free for non-profit use (E.
[1] dos Santos Ferreira, A., Freitas, D. M., da Silva, G. G., Pistori, H., & Folhes, M. T. (2017). Weed detection in soybean crops using ConvNets. Computers and Electronics in Agriculture, 143, 314-324. [1] dos Santos Ferreira, A., Freitas, D. M., da Silva, G. G., Pistori, H., & Folhes, M. T. (2017). Weed detection in soybean crops using ConvNets. Computers and Electronics in Agriculture, 143, 314-324.
### How to Install ## How to Install
##Option 1, Linux-only Script
####Option 1, Linux-only Script
You can easily install Pynovisão utilizing the automated installation script given with it, as seen by the following steps: You can easily install Pynovisão utilizing the automated installation script given with it, as seen by the following steps:
- From inside of this directory: - From inside of this directory:
...@@ -48,7 +49,7 @@ $ sudo bash INSTALL.sh ...@@ -48,7 +49,7 @@ $ sudo bash INSTALL.sh
``` ```
**NOTE**: This script has been tested for Ubuntu versions 19.04 and 18.04 **NOTE**: This script has been tested for Ubuntu versions 19.04 and 18.04
##Option 2, without INSTALL.sh ####Option 2, without INSTALL.sh
Besides it's dependencies, Python 2.7.6 or Python 3.6 is needed. (Latest tested versions for this software) Besides it's dependencies, Python 2.7.6 or Python 3.6 is needed. (Latest tested versions for this software)
...@@ -76,7 +77,7 @@ $ sudo pip install keras ...@@ -76,7 +77,7 @@ $ sudo pip install keras
## How to install Caffe ( Optional ) ## How to install Caffe ( Optional )
# Ubuntu / Windows #### Ubuntu / Windows
In order to use the CNNCaffe classifier, a ConvNet based on the AlexNet topology, it is necessary to install Caffe. In order to use the CNNCaffe classifier, a ConvNet based on the AlexNet topology, it is necessary to install Caffe.
It's installation is more complex than the ones previously mentioned, and more detailed instructions can be found below: It's installation is more complex than the ones previously mentioned, and more detailed instructions can be found below:
...@@ -92,8 +93,8 @@ Finally, it is necessary to configure your CNNCaffe. ...@@ -92,8 +93,8 @@ Finally, it is necessary to configure your CNNCaffe.
- For the field *LabelsFile* you must supply the path to a file that describes all the classes in order (0, 1, 2, ..., n-1; where n is the number of classes trained). - For the field *LabelsFile* you must supply the path to a file that describes all the classes in order (0, 1, 2, ..., n-1; where n is the number of classes trained).
- A example file can be found in **[...]/pynovisao/examples/labels.txt**. - A example file can be found in **[...]/pynovisao/examples/labels.txt**.
### How to use: ## How to use:
##Opening the software ###Opening the software
- In order to download Pynovisao, click the download button in the top right of the screen (Compressed folder), or type the following command in a terminal: - In order to download Pynovisao, click the download button in the top right of the screen (Compressed folder), or type the following command in a terminal:
``` ```
$ git clone http://git.inovisao.ucdb.br/inovisao/pynovisao $ git clone http://git.inovisao.ucdb.br/inovisao/pynovisao
...@@ -120,7 +121,7 @@ Finally, it is necessary to configure your CNNCaffe. ...@@ -120,7 +121,7 @@ Finally, it is necessary to configure your CNNCaffe.
Now you are able to run Pynovisão! Now you are able to run Pynovisão!
# Other options: ### Other options:
- Show All options available - Show All options available
......
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