Hi,
auch von mir noch Mal ein großes Danke und Hochachtung für die schöne Umsetzung! Ich hab schon seit Jahren eine OCR für die Ziffern im Einsatz und hatte es mir als Projekt für den Urlaub vorgenommen, die analogen Nadeln mit Tensorflow zu lernen. Beim Googeln hab ich Dein Projekt gefunden und das ist natürlich viel schöner!
Blöderweise hatte ich es vor zwei Wochen angefangen, alles für nodejs installiert und als ich heute weiter machen wollte, ist es plötzlich in python ;-)) nee nee, viel besser, alles gut 
Das pip install requirements hat bei mir nicht funktioniert.
Ich musste unter debian 10.0 / x86_64 das folgende machen, ich hoffe, es hilft jemandem :
pip3 install requests Keras numpy Pillow opencv-python tensorflow --no-cache-dir
Ich hab die config.ini angepasst und kann den Server starten. Leider bekomme ich eine Fehlermeldung, mit der ich nicht weiter komme:
root@dasding:~/water-meter-system-complete/code# python3 wasseruhr.py
Using TensorFlow backend.
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/usr/local/lib/python3.7/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Start Init Zaehlerstand
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/init_ops.py:97: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/init_ops.py:97: calling Ones.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/init_ops.py:97: calling GlorotUniform.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
2019-09-02 16:36:45.093960: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-09-02 16:36:45.116365: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1992000000 Hz
2019-09-02 16:36:45.116783: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x43bb350 executing computations on platform Host. Devices:
2019-09-02 16:36:45.116823: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
2019-09-02 16:36:45.136602: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
Analog Model Init Done
Digital Model Init Done
serving at port 3000
Picture Download done
----------------------------------------
Exception happened during processing of request from ('10.0.0.71', 55985)
Traceback (most recent call last):
File "/usr/lib/python3.7/socketserver.py", line 316, in _handle_request_noblock
self.process_request(request, client_address)
File "/usr/lib/python3.7/socketserver.py", line 347, in process_request
self.finish_request(request, client_address)
File "/usr/lib/python3.7/socketserver.py", line 360, in finish_request
self.RequestHandlerClass(request, client_address, self)
File "/usr/lib/python3.7/socketserver.py", line 720, in __init__
self.handle()
File "/usr/lib/python3.7/http/server.py", line 426, in handle
self.handle_one_request()
File "/usr/lib/python3.7/http/server.py", line 414, in handle_one_request
method()
File "wasseruhr.py", line 30, in do_GET
result = wasserzaehler.getZaehlerstand('./image_tmp/original.jpg', simple, preValue)
NameError: name 'preValue' is not defined
----------------------------------------
Kann jemand damit was anfangen und mir weiterhelfen? Der Server bleibt weiter am Leben und nimmt neue requests an. Die Fehlermeldung ist immer die gleiche.
Vielen Dank für alle Hinweise und schöne Grüße,
Ruebenschuss
und ich hab im python code tausend debug messages eingebaut...
Du machst so eine tolle Arbeit und stellst sie allen zur Verfügung, ganz locker bleiben... Es war auch gar nicht als Kritik gemeint, sondern nur als Feedback und Frage, ob jemand Hilfe weiss... Und dass Du dann auch noch so schnellen Support gibst ist echt ein Traum. Wenn ich es zum Laufen bekommen hab, spendiere ich 'ne Kiste eines Kaltgetränkes Deiner Wahl 