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基于卷积神经网络的数字手势识别安卓APP,识别数字手势0-10(The number gestures recognition Android APP based on convolutional neural network(CNN), which can recognize the gestures corresponding number 0 to 10)

License: BSD 2-Clause "Simplified" License

Java 98.50% Python 1.50%

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chinese-number-gestures-recognition's Issues

range() integer end argument expected, got float

Traceback (most recent call last): File "cnn.py", line 181, in <module> cnn_model(X_train, y_train, X_test, y_test, 0.8, 1e-4, num_epochs=500, minibatch_size=16) File "cnn.py", line 152, in cnn_model minibatches = random_mini_batches(X_train, y_train, minibatch_size, seed) File "cnn.py", line 80, in random_mini_batches for k in range(0, num_complete_minibatches): TypeError: range() integer end argument expected, got float.

tensorflow.python.framework.errors_impl.NotFoundError:

Traceback (most recent call last):
File "C:/Desktop/ruanjiangongchen/Chinese-number-gestures-recognition-master/digital_gesture_recognition/load_model.py", line 97, in
parameters = load_parameters()
File "C:/Desktop/ruanjiangongchen/Chinese-number-gestures-recognition-master/digital_gesture_recognition/load_model.py", line 21, in load_parameters
saver.restore(sess, "model2500//./cnn_model.ckpt.meta")
File "D:\Anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 1528, in restore
if not checkpoint_management.checkpoint_exists(compat.as_text(save_path)):
File "D:\Anaconda\lib\site-packages\tensorflow\python\training\checkpoint_management.py", line 364, in checkpoint_exists
if file_io.get_matching_files(pathname):
File "D:\Anaconda\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 342, in get_matching_files
for single_filename in filename
File "D:\Anaconda\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 526, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: FindFirstFile failed for: model2500//. : ϵͳ\udcd5Ҳ\udcbb\udcb5\udcbdָ\udcb6\udca8\udcb5\udcc4·\udcbe\udcb6\udca1\udca3
; No such process

ErrorCode:
with tf.Session() as sess:
saver.restore(sess, "model//./cnn_model.ckpt")
# print(W_conv1.eval())
这里出错,文件下没有model文件夹及其他文件,请问怎么处理,如果方便,麻烦您回复,谢谢您

将自己的模型移植到Android studio

你好,请问我想用利用你的代码然后替换自己的模型来进行识别该如何实现,该修改哪些参数?
真心求教,如果看到的话您希望能够回复,谢谢

识别结果巨差

你好,非常感谢你的开源项目。
本地调通了你的安卓项目,但是手机测试的时候准确率很低,基本上10张只能识别出1-3张。
图像看的都非常清晰,可能会是什么问题呢。

數據集

數據集無法下載,請問有新載點嗎?
謝謝

识别效果非常差

您好,首先很感谢您分享了该项目,但是目前我使用了android程序,发现识别准确率非常非常非常差,有没有办法在优化下?

识别率问题

1.用博主model_2500的模型验证数据,错误的很多
2.我自己采集了几百张数据,石头剪刀布(0,2,5),扩充数据后训练了500轮,模型的识别错误依然很多。
请问博主你训练的模型正确率是多少。

操作步骤

你好,感谢你的分享,请问可以简单介绍一下在你给的代码下想在android上的操作步骤吗?谢谢!

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