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Prepare data for training and report results #1

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Prepare data for training and report results #1

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7 changes: 6 additions & 1 deletion Classification/Digit_Recognition/train_digits_hog.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@
data = []
labels = []


for imagePath in paths.list_images("dataset\\training"):
digit = imagePath.split("\\")[-2]

Expand All @@ -27,6 +26,9 @@
data.append(H)
labels.append(digit)

data_arr = asarray(data)
pixels = data_arr.flatten().reshape(6000, 784)

print("[INFO] training classifier...")

model = RandomForestClassifier(n_estimators=30, random_state=42)
Expand Down Expand Up @@ -54,5 +56,8 @@
act_res.append(digit_val)
pred_res.append(pred)

print(classification_report(act_res, pred_res))



print(classification_report(act_res, pred_res))