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[Fix] Update cv2.imdecode to use cv2.IMREAD_COLOR for consistent #192

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Merged
GreatV merged 1 commit into from
Jul 3, 2025
Merged

[Fix] Update cv2.imdecode to use cv2.IMREAD_COLOR for consistent #192

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14 changes: 9 additions & 5 deletions PPOCRLabel.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2137,7 +2137,9 @@ def loadFile(self, filePath=None, isAdjustScale=True):

if unicodeFilePath and os.path.exists(unicodeFilePath):
self.canvas.verified = False
cvimg = cv2.imdecode(np.fromfile(unicodeFilePath, dtype=np.uint8), 1)
cvimg = cv2.imdecode(
np.fromfile(unicodeFilePath, dtype=np.uint8), cv2.IMREAD_COLOR
)
height, width, depth = cvimg.shape
cvimg = cv2.cvtColor(cvimg, cv2.COLOR_BGR2RGB)
image = QImage(
Expand Down Expand Up @@ -2939,7 +2941,7 @@ def autoRecognition(self):
self.init_key_list(self.Cachelabel)

def reRecognition(self):
img = cv2.imdecode(np.fromfile(self.filePath, dtype=np.uint8), 1)
img = cv2.imdecode(np.fromfile(self.filePath, dtype=np.uint8), cv2.IMREAD_COLOR)
if self.canvas.shapes:
self.result_dic = []
self.result_dic_locked = (
Expand Down Expand Up @@ -3023,7 +3025,7 @@ def reRecognition(self):
QMessageBox.information(self, "Information", "Draw a box!")

def singleRerecognition(self):
img = cv2.imdecode(np.fromfile(self.filePath, dtype=np.uint8), 1)
img = cv2.imdecode(np.fromfile(self.filePath, dtype=np.uint8), cv2.IMREAD_COLOR)
for shape in self.canvas.selectedShapes:
box = [[int(p.x()), int(p.y())] for p in shape.points]
if len(box) > 4:
Expand Down Expand Up @@ -3495,7 +3497,9 @@ def saveRecResult(self):
idx = self.getImglabelidx(key)
try:
img_path = os.path.dirname(base_dir) + "/" + key
img = cv2.imdecode(np.fromfile(img_path, dtype=np.uint8), -1)
img = cv2.imdecode(
np.fromfile(img_path, dtype=np.uint8), cv2.IMREAD_COLOR
)
for i, label in enumerate(self.PPlabel[idx]):
if label["difficult"]:
continue
Expand Down Expand Up @@ -3645,7 +3649,7 @@ def format_shape(s):
self.actions.save.setEnabled(True)

def expandSelectedShape(self):
img = cv2.imdecode(np.fromfile(self.filePath, dtype=np.uint8), 1)
img = cv2.imdecode(np.fromfile(self.filePath, dtype=np.uint8), cv2.IMREAD_COLOR)
for shape in self.canvas.selectedShapes:
box = [[int(p.x()), int(p.y())] for p in shape.points]
if len(box) > 4:
Expand Down
2 changes: 1 addition & 1 deletion libs/autoDialog.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def run(self):
self.listValue.emit(img_path)
if self.model == "paddle":
h, w, _ = cv2.imdecode(
np.fromfile(img_path, dtype=np.uint8), 1
np.fromfile(img_path, dtype=np.uint8), cv2.IMREAD_COLOR
).shape
if h > 32 and w > 32:
result = self.ocr.predict(img_path)[0]
Expand Down