我面临着一个似乎无法解决的问题：当我在 Python 或 Android 上运行时，我的 tflite 模型为我提供了不同的数据，导致错误并使其在 Android 上崩溃。我正在开发一个带有 tflite 的 Kivy 应用程序，用于检测棋盘上的棋子。我将 YOLOv8 模型转换为 tflite 格式。在该方法中进行图像推理时出现问题：
def get_positions(model_path, img_name):
print("Loading model...")
interpreter = Interpreter(model_path=model_path)
interpreter.allocate_tensors()
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print("Input details:", input_details)
print("Output details:", output_details)
print("Loading image...")
image = cv2.imread(img_name)
if image is None:
raise ValueError(f"Could not load the image from {img_name}")
print("Original image dimensions:", image.shape)
image_height = input_details[0]['shape'][1]
image_width = input_details[0]['shape'][2]
resized_image = cv2.resize(image, (image_width, image_height))
input_image = np.array(resized_image, dtype=np.float32) / 255.0
input_image = input_image[np.newaxis, :]
print("Resized image dimensions:", input_image.shape)
interpreter.set_tensor(input_details[0]['index'], input_image)
interpreter.invoke()
output = interpreter.get_tensor(output_details[0]['index'])
output = output[0]
output = output.T
print("Model output:", output)
boxes_xywh = output[..., :4]
scores = np.max(output[..., 4:], axis=1)
print("Scores:", scores)
classes = np.argmax(output[..., 4:], axis=1)
indices = cv2.dnn.NMSBoxes(boxes_xywh.tolist(), scores.tolist(), confidence_threshold, iou_threshold)
print("Indices after NMS:", indices)
results = []
for i in indices:
if scores[i] >= confidence_threshold:
x_center, y_center, width, height = boxes_xywh[i]
x_center, width = x_center * image_width, width * image_width
y_center, height = y_center * image_height, height * image_height
x_center /= image_width
y_center /= image_height
width /= image_width
height /= image_height
result = {
'class_id': classes[i],
'class_name': CLASSES[classes[i]],
'x_center': x_center,
'y_center': y_center,
'width': width,
'height': height,
'confidence': scores[i]
}
print("Result:", result)
results.append(result)
return results
在我的计算机上，它可以按预期工作，但是当我在 Android 上创建 APK 时，它会崩溃，因为未生成适当的数据。
这是我电脑上的调试日志（运行良好）
`正在加载模型...信息：为 CPU 创建了 TensorFlow Lite XNNPACK 委托。输入详细信息： [{'name': 'inputs_0', 'index': 0, 'shape': array([ 1, 640, 640, 3], dtype=int32), 'shape_signature': array([ 1, 640 , 640, 3], dtype=int32), 'dtype':
从我的 Android 应用程序（它崩溃了）`
Loading model... 05-03 16:37:36.598 6567 30025 I python : Input details: [{'name': 'inputs_0', 'index': 0, 'shape': array([ 1, 640, 640, 3], dtype=int32), 'shape_signature': array([ 1, 640, 640, 3], dtype=int32), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}] 05-03 16:37:36.599 6567 30025 I python : Output details: [{'name': 'Identity', 'index': 409, 'shape': array([ 1, 17, 8400], dtype=int32), 'shape_signature': array([ 1, 17, 8400], dtype=int32), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}] 05-03 16:37:36.599 6567 30025 I python : Loading image... 05-03 16:37:36.654 6567 30025 I python : Original image dimensions: (1181, 1690, 3) 05-03 16:37:36.667 6567 30025 I python : Resized image dimensions: (1, 640, 640, 3) 05-03 16:37:39.163 6567 30025 I python : Model output: [[1.1006776e-02 3.4101110e-02 1.9614521e-02 ... 2.6802416e-05 05-03 16:37:39.163 6567 30025 I python : 3.2099608e-05 2.3671355e-05] 05-03 16:37:39.163 6567 30025 I python : [3.3980943e-02 1.1495264e-02 5.1065952e-02 ... 3.0108265e-05 05-03 16:37:39.163 6567 30025 I python : 2.4681047e-05 3.4402743e-05] 05-03 16:37:39.163 6567 30025 I python : [4.6541952e-02 7.9354066e-03 6.3635573e-02 ... 1.8403680e-05 05-03 16:37:39.163 6567 30025 I python : 4.7014123e-06 2.9310897e-05] 05-03 16:37:39.163 6567 30025 I python : ... 05-03 16:37:39.163 6567 30025 I python : [8.8734090e-01 9.7479749e-01 1.9226938e-01 ... 2.3383748e-06 05-03 16:37:39.163 6567 30025 I python : 1.9063839e-06 8.1505374e-07] 05-03 16:37:39.163 6567 30025 I python : [9.3079507e-01 9.7354960e-01 1.9993705e-01 ... 2.2026243e-06 05-03 16:37:39.163 6567 30025 I python : 2.1150458e-06 8.2314176e-07] 05-03 16:37:39.163 6567 30025 I python : [9.7550833e-01 9.7113740e-01 1.7806411e-01 ... 1.6881464e-06 05-03 16:37:39.163 6567 30025 I python : 1.1987436e-06 6.0122733e-07]] 05-03 16:37:39.164 6567 30025 I python : Scores: [4.7007226e-05 8.5895088e-05 4.0709638e-05 ... 3.7478853e-06 3.3213526e-06 05-03 16:37:39.164 6567 30025 I python : 2.8609834e-06] 05-03 16:37:39.180 6567 30025 I python : Indices after NMS: [[7601] 05-03 16:37:39.180 6567 30025 I python : [7853] 05-03 16:37:39.180 6567 30025 I python : [7668] 05-03 16:37:39.180 6567 30025 I python : [6563] 05-03 16:37:39.180 6567 30025 I python : [7878] 05-03 16:37:39.180 6567 30025 I python : [7088] 05-03 16:37:39.180 6567 30025 I python : [7262] 05-03 16:37:39.180 6567 30025 I python : [7287] 05-03 16:37:39.180 6567 30025 I python : [6536] 05-03 16:37:39.180 6567 30025 I python : [2125] 05-03 16:37:39.180 6567 30025 I python : [6607] 05-03 16:37:39.180 6567 30025 I python : [3547] 05-03 16:37:39.180 6567 30025 I python : [6808] 05-03 16:37:39.180 6567 30025 I python : [5907] 05-03 16:37:39.180 6567 30025 I python : [7688] 05-03 16:37:39.180 6567 30025 I python : [1336] 05-03 16:37:39.180 6567 30025 I python : [6896] 05-03 16:37:39.180 6567 30025 I python : [6972] 05-03 16:37:39.180 6567 30025 I python : [7068] 05-03 16:37:39.180 6567 30025 I python : [2867] 05-03 16:37:39.180 6567 30025 I python : [4295] 05-03 16:37:39.180 6567 30025 I python : [7497] 05-03 16:37:39.180 6567 30025 I python : [5086] 05-03 16:37:39.180 6567 30025 I python : [ 448] 05-03 16:37:39.180 6567 30025 I python : [4266] 05-03 16:37:39.180 6567 30025 I python : [5798] 05-03 16:37:39.180 6567 30025 I python : [ 705] 05-03 16:37:39.180 6567 30025 I python : [7077] 05-03 16:37:39.180 6567 30025 I python : [6478] 05-03 16:37:39.180 6567 30025 I python : [6483] 05-03 16:37:39.180 6567 30025 I python : [7242]] 05-03 16:37:39.181 6567 30025 I python : [INFO ] [Base ] Leaving application in progress... 05-03 16:37:39.181 6567 30025 I python : Traceback (most recent call last): 05-03 16:37:39.181 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/app/main.py", line 165, in <module> 05-03 16:37:39.181 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/app.py", line 956, in run 05-03 16:37:39.182 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/base.py", line 574, in runTouchApp 05-03 16:37:39.182 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/base.py", line 339, in mainloop 05-03 16:37:39.182 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/base.py", line 383, in idle 05-03 16:37:39.182 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/base.py", line 334, in dispatch_input 05-03 16:37:39.182 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/base.py", line 263, in post_dispatch_input 05-03 16:37:39.183 6567 30025 I python : File "kivy/_event.pyx", line 731, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.183 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/core/window/__init__.py", line 1709, in on_motion 05-03 16:37:39.183 6567 30025 I python : File "kivy/_event.pyx", line 731, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.183 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/core/window/__init__.py", line 1726, in on_touch_down 05-03 16:37:39.184 6567 30025 I python : File "kivy/_event.pyx", line 731, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.184 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/uix/screenmanager.py", line 1210, in on_touch_down 05-03 16:37:39.184 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/uix/widget.py", line 589, in on_touch_down 05-03 16:37:39.184 6567 30025 I python : File "kivy/_event.pyx", line 731, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.184 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/uix/relativelayout.py", line 306, in on_touch_down 05-03 16:37:39.185 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/uix/widget.py", line 589, in on_touch_down 05-03 16:37:39.185 6567 30025 I python : File "kivy/_event.pyx", line 731, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.185 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/uix/widget.py", line 589, in on_touch_down 05-03 16:37:39.185 6567 30025 I python : File "kivy/_event.pyx", line 731, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.185 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/platform/build-arm64-v8a/build/python-installs/myapp/arm64-v8a/kivy/uix/behaviors/button.py", line 151, in on_touch_down 05-03 16:37:39.186 6567 30025 I python : File "kivy/_event.pyx", line 727, in kivy._event.EventDispatcher.dispatch 05-03 16:37:39.186 6567 30025 I python : File "kivy/_event.pyx", line 1307, in kivy._event.EventObservers.dispatch 05-03 16:37:39.186 6567 30025 I python : File "kivy/_event.pyx", line 1231, in kivy._event.EventObservers._dispatch 05-03 16:37:39.186 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/app/main.py", line 139, in scan_and_analyze 05-03 16:37:39.186 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/app/main_model.py", line 13, in main 05-03 16:37:39.187 6567 30025 I python : File "/home/jr/Desktop/Kivy/main/.buildozer/android/app/model_tflite.py", line 71, in get_positions 05-03 16:37:39.187 6567 30025 I python : ValueError: not enough values to unpack (expected 4, got 1)好的，我解决了。应该是这样的：
for i in indices.flatten():
if scores[i] >= confidence_threshold:
x_center, y_center, width, height = boxes_xywh[i]
问题在于数组是二维的，而不是一维的。至于为什么在VSCode中运行良好，我不知道......