Yashvj123 commited on
Commit
0f1d296
·
verified ·
1 Parent(s): f5bd1bf

Update pages/3ML Project Life Cycle.py

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Files changed (1) hide show
  1. pages/3ML Project Life Cycle.py +6 -6
pages/3ML Project Life Cycle.py CHANGED
@@ -1309,7 +1309,7 @@ cv2.destroyAllWindows()
1309
  file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
1310
  img = cv2.imdecode(file_bytes, 1)
1311
  img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
1312
- st.image(img, caption="Uploaded Image", use_column_width=True)
1313
 
1314
  # Choose operation
1315
  st.markdown("### Choose Transformation")
@@ -1326,7 +1326,7 @@ cv2.destroyAllWindows()
1326
  y2 = st.number_input("Y2 (End Row)", min_value=y1 + 1, value=img.shape[0], step=1)
1327
  if st.button("Apply Cropping"):
1328
  cropped_img = img[y1:y2, x1:x2]
1329
- st.image(cropped_img, caption="Cropped Image", use_column_width=True)
1330
 
1331
  elif operation == "Scaling":
1332
  st.markdown("### Scaling Parameters")
@@ -1334,7 +1334,7 @@ cv2.destroyAllWindows()
1334
  scale_y = st.slider("Scale Y", 0.1, 3.0, 1.0, step=0.1)
1335
  if st.button("Apply Scaling"):
1336
  scaled_img = cv2.resize(img, None, fx=scale_x, fy=scale_y, interpolation=cv2.INTER_LINEAR)
1337
- st.image(scaled_img, caption="Scaled Image", use_column_width=True)
1338
 
1339
  elif operation == "Translation":
1340
  st.markdown("### Translation Parameters")
@@ -1343,7 +1343,7 @@ cv2.destroyAllWindows()
1343
  if st.button("Apply Translation"):
1344
  t_mat = np.float32([[1, 0, tx], [0, 1, ty]])
1345
  translated_img = cv2.warpAffine(img, t_mat, (img.shape[1], img.shape[0]))
1346
- st.image(translated_img, caption="Translated Image", use_column_width=True)
1347
 
1348
  elif operation == "Shearing":
1349
  st.markdown("### Shearing Parameters")
@@ -1352,7 +1352,7 @@ cv2.destroyAllWindows()
1352
  if st.button("Apply Shearing"):
1353
  shear_mat = np.float32([[1, sh_x, 0], [sh_y, 1, 0]])
1354
  sheared_img = cv2.warpAffine(img, shear_mat, (img.shape[1], img.shape[0]))
1355
- st.image(sheared_img, caption="Sheared Image", use_column_width=True)
1356
 
1357
  elif operation == "Rotation":
1358
  st.markdown("### Rotation Parameters")
@@ -1361,7 +1361,7 @@ cv2.destroyAllWindows()
1361
  center = (img.shape[1] // 2, img.shape[0] // 2)
1362
  rot_mat = cv2.getRotationMatrix2D(center, angle, 1.0)
1363
  rotated_img = cv2.warpAffine(img, rot_mat, (img.shape[1], img.shape[0]))
1364
- st.image(rotated_img, caption="Rotated Image", use_column_width=True)
1365
 
1366
  else:
1367
  st.warning("Please upload an image file to continue.")
 
1309
  file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
1310
  img = cv2.imdecode(file_bytes, 1)
1311
  img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
1312
+ st.image(img, caption="Uploaded Image", use_container_width=True)
1313
 
1314
  # Choose operation
1315
  st.markdown("### Choose Transformation")
 
1326
  y2 = st.number_input("Y2 (End Row)", min_value=y1 + 1, value=img.shape[0], step=1)
1327
  if st.button("Apply Cropping"):
1328
  cropped_img = img[y1:y2, x1:x2]
1329
+ st.image(cropped_img, caption="Cropped Image", use_container_width=True)
1330
 
1331
  elif operation == "Scaling":
1332
  st.markdown("### Scaling Parameters")
 
1334
  scale_y = st.slider("Scale Y", 0.1, 3.0, 1.0, step=0.1)
1335
  if st.button("Apply Scaling"):
1336
  scaled_img = cv2.resize(img, None, fx=scale_x, fy=scale_y, interpolation=cv2.INTER_LINEAR)
1337
+ st.image(scaled_img, caption="Scaled Image", use_container_width=True)
1338
 
1339
  elif operation == "Translation":
1340
  st.markdown("### Translation Parameters")
 
1343
  if st.button("Apply Translation"):
1344
  t_mat = np.float32([[1, 0, tx], [0, 1, ty]])
1345
  translated_img = cv2.warpAffine(img, t_mat, (img.shape[1], img.shape[0]))
1346
+ st.image(translated_img, caption="Translated Image", use_container_width=True)
1347
 
1348
  elif operation == "Shearing":
1349
  st.markdown("### Shearing Parameters")
 
1352
  if st.button("Apply Shearing"):
1353
  shear_mat = np.float32([[1, sh_x, 0], [sh_y, 1, 0]])
1354
  sheared_img = cv2.warpAffine(img, shear_mat, (img.shape[1], img.shape[0]))
1355
+ st.image(sheared_img, caption="Sheared Image", use_container_width=True)
1356
 
1357
  elif operation == "Rotation":
1358
  st.markdown("### Rotation Parameters")
 
1361
  center = (img.shape[1] // 2, img.shape[0] // 2)
1362
  rot_mat = cv2.getRotationMatrix2D(center, angle, 1.0)
1363
  rotated_img = cv2.warpAffine(img, rot_mat, (img.shape[1], img.shape[0]))
1364
+ st.image(rotated_img, caption="Rotated Image", use_container_width=True)
1365
 
1366
  else:
1367
  st.warning("Please upload an image file to continue.")