From 69957f5a288bbdaaa840e7f21665302de6f5c2c8 Mon Sep 17 00:00:00 2001
From: Lian067 <90067568+Lian067@users.noreply.github.com>
Date: Wed, 22 Apr 2026 18:22:25 +0530
Subject: [PATCH] Prepare data for training and report results

Flatten the data array for training and add classification report.
---
 Classification/Digit_Recognition/train_digits_hog.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/Classification/Digit_Recognition/train_digits_hog.py b/Classification/Digit_Recognition/train_digits_hog.py
index d45172c17..c9fbaadc5 100644
--- a/Classification/Digit_Recognition/train_digits_hog.py
+++ b/Classification/Digit_Recognition/train_digits_hog.py
@@ -17,7 +17,6 @@
 data = []
 labels = []
 
-
 for imagePath in paths.list_images("dataset\\training"):
 	digit = imagePath.split("\\")[-2]
 
@@ -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)
@@ -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))