In this repository, a chess piece image recognizer is created using a multilayer neural network trained on the 2D Chessboard and Chess Pieces dataset.
For further information, please visit:
Remove all files in the testing and the training folders.
$ php cleanup.php
Prepare 20,000 samples for further training.
$ php prepare.php 20000 training
Train the neural network.
$ php train.php
Prepare 20,000 samples for further testing.
$ php prepare.php 20000 testing
Make predictions.
$ php validate.php
Below is an excerpt from an example report.
{
"breakdown": {
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"f1 score": 0.9941602196186778,
"precision": 0.9940627491890405,
"recall": 0.9942795094934874,
"specificity": 0.9996889401546447,
"negative predictive value": 0.9996881232795347,
"false discovery rate": 0.005937250810959638,
"miss rate": 0.005720490506512628,
"fall out": 0.00031105984535529675,
"false omission rate": 0.0003118767204653641,
"mcc": 0.9938551321222888,
"informedness": 0.9939684496481321,
"markedness": 0.993750872468575,
"true positives": 19924,
"true negatives": 239088,
"false positives": 75,
"false negatives": 75,
"cardinality": 19999
},
"classes": {
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"precision": 0.9607250755287009,
"recall": 0.9636363636363636,
"specificity": 0.9993373770324685,
"negative predictive value": 0.9993883168518707,
"false discovery rate": 0.0392749244712991,
"miss rate": 0.036363636363636376,
"fall out": 0.000662622967531501,
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"true positives": 318,
"true negatives": 19606,
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"cardinality": 330,
"proportion": 0.01650082504125206
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"N": {
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"recall": 0.9901719901719902,
"specificity": 0.9982011447260835,
"negative predictive value": 0.9991270187690965,
"false discovery rate": 0.020060790273556228,
"miss rate": 0.009828009828009798,
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"informedness": 0.9883731348980738,
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"true positives": 1612,
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"false positives": 33,
"false negatives": 16,
"cardinality": 1628,
"proportion": 0.08140407020351018
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"B": {
"accuracy": 0.9990472847615705,
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"precision": 1,
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"negative predictive value": 0.9989622023159275,
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"fall out": 0,
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"informedness": 0.9885126964933495,
"markedness": 0.9989622023159275,
"mcc": 0.9937237142718555,
"true positives": 1635,
"true negatives": 18289,
"false positives": 0,
"false negatives": 19,
"cardinality": 1654,
"proportion": 0.08270413520676034
},
"Q": {
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"true positives": 1650,
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"false positives": 13,
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"cardinality": 1650,
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"b": {
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"negative predictive value": 1,
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"informedness": 1,
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"true positives": 1590,
"true negatives": 18334,
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"proportion": 0.07950397519875994
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"K": {
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"negative predictive value": 0.9995077932731747,
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"true positives": 1648,
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"false positives": 0,
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"cardinality": 1657,
"proportion": 0.08285414270713536
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"k": {
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"true positives": 1666,
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"false positives": 0,
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"R": {
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},
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}
}
The GNU General Public License.
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