apache · gigasquid · Jan 10, 2019 · Dec 29, 2018 · Dec 30, 2018 · Dec 31, 2018
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+/.lein-*
+/.nrepl-port
+images/*
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+# Captcha
+
+This is the clojure version of [captcha recognition](https://github.com/xlvector/learning-dl/tree/master/mxnet/ocr)
+example by xlvector and mirrors the R captcha example. It can be used as an
+example of multi-label training. For the following captcha example, we consider it as an
+image with 4 labels and train a CNN over the data set.
+
+![captcha example](captcha_example.png)
+
+## Installation
+
+Before you run this example, make sure that you have the clojure package
+installed. In the main clojure package directory, do `lein install`.
+Then you can run `lein install` in this directory.
+
+## Usage
+
+### Training
+
+First the OCR model needs to be trained based on [labeled data](https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/data/captcha_example.zip).
+The training can be started using the following:
+```
+$ lein train [:cpu|:gpu] [num-devices]
+```
+This downloads the training/evaluation data using the `get_data.sh` script
+before starting training.
+
+It is possible that you will encounter some out-of-memory issues while training using :gpu on Ubuntu
+linux (18.04). However, the command `lein train` (training on one CPU) may resolve the issue.
+
+The training runs for 10 iterations by default and saves the model with the
+prefix `ocr-`. The model achieved an exact match accuracy of ~0.954 and
+~0.628 on training and validation data respectively.
+
+### Inference
+
+Once the model has been saved, it can be used for prediction. This can be done
+by running:
+```
+$ lein infer
+INFO  MXNetJVM: Try loading mxnet-scala from native path.
+INFO  MXNetJVM: Try loading mxnet-scala-linux-x86_64-gpu from native path.
+INFO  MXNetJVM: Try loading mxnet-scala-linux-x86_64-cpu from native path.
+WARN  MXNetJVM: MXNet Scala native library not found in path. Copying native library from the archive. Consider installing the library somewhere in the path (for Windows: PATH, for Linux: LD_LIBRARY_PATH), or specifying by Java cmd option -Djava.library.path=[lib path].
+WARN  org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis
+INFO  org.apache.mxnet.infer.Predictor: Latency increased due to batchSize mismatch 8 vs 1
+WARN  org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis
+WARN  org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis
+CAPTCHA output: 6643
+INFO  org.apache.mxnet.util.NativeLibraryLoader: Deleting /tmp/mxnet6045308279291774865/libmxnet.so
+INFO  org.apache.mxnet.util.NativeLibraryLoader: Deleting /tmp/mxnet6045308279291774865/mxnet-scala
+INFO  org.apache.mxnet.util.NativeLibraryLoader: Deleting /tmp/mxnet6045308279291774865
+```
+The model runs on `captcha_example.png` by default.
+
+It can be run on other generated captcha images as well. The script
+`gen_captcha.py` generates random captcha images for length 4.
+Before running the python script, you will need to install the [captcha](https://pypi.org/project/captcha/)
+library using `pip3 install --user captcha`. The captcha images are generated
+in the `images/` folder and we can run the prediction using
+`lein infer images/7534.png`.
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+#!/usr/bin/env python3
+
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+from captcha.image import ImageCaptcha
+import os
+import random
+
+length = 4
+width = 160
+height = 60
+IMAGE_DIR = "images"
+
+
+def random_text():
+    return ''.join(str(random.randint(0, 9))
+                   for _ in range(length))
+
+
+if __name__ == '__main__':
+    image = ImageCaptcha(width=width, height=height)
+    captcha_text = random_text()
+    if not os.path.exists(IMAGE_DIR):
+        os.makedirs(IMAGE_DIR)
+    image.write(captcha_text, os.path.join(IMAGE_DIR, captcha_text + ".png"))
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+#!/bin/bash
+
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+set -evx
+
+EXAMPLE_ROOT=$(cd "$(dirname $0)"; pwd)
+
+data_path=$EXAMPLE_ROOT
+
+if [ ! -f "$data_path/captcha_example.zip" ]; then
+  wget https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/data/captcha_example.zip -P $data_path
+fi
+
+if [ ! -f "$data_path/captcha_example/captcha_train.rec" ]; then
+  unzip $data_path/captcha_example.zip -d $data_path
+fi
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+;;
+;; Licensed to the Apache Software Foundation (ASF) under one or more
+;; contributor license agreements.  See the NOTICE file distributed with
+;; this work for additional information regarding copyright ownership.
+;; The ASF licenses this file to You under the Apache License, Version 2.0
+;; (the "License"); you may not use this file except in compliance with
+;; the License.  You may obtain a copy of the License at
+;;
+;;    http://www.apache.org/licenses/LICENSE-2.0
+;;
+;; Unless required by applicable law or agreed to in writing, software
+;; distributed under the License is distributed on an "AS IS" BASIS,
+;; WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+;; See the License for the specific language governing permissions and
+;; limitations under the License.
+;;
+
+(defproject captcha "0.1.0-SNAPSHOT"
+  :description "Captcha recognition via multi-label classification"
+  :plugins [[lein-cljfmt "0.5.7"]]
+  :dependencies [[org.clojure/clojure "1.9.0"]
+                 [org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
+  :main ^:skip-aot captcha.train-ocr
+  :profiles {:train {:main captcha.train-ocr}
+             :infer {:main captcha.infer-ocr}
+             :uberjar {:aot :all}}
+  :aliases {"train" ["with-profile" "train" "run"]
+            "infer" ["with-profile" "infer" "run"]})
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+;;
+;; Licensed to the Apache Software Foundation (ASF) under one or more
+;; contributor license agreements.  See the NOTICE file distributed with
+;; this work for additional information regarding copyright ownership.
+;; The ASF licenses this file to You under the Apache License, Version 2.0
+;; (the "License"); you may not use this file except in compliance with
+;; the License.  You may obtain a copy of the License at
+;;
+;;    http://www.apache.org/licenses/LICENSE-2.0
+;;
+;; Unless required by applicable law or agreed to in writing, software
+;; distributed under the License is distributed on an "AS IS" BASIS,
+;; WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+;; See the License for the specific language governing permissions and
+;; limitations under the License.
+;;
+
+(ns captcha.consts)
+
+(def batch-size 8)
+(def channels 3)
+(def height 30)
+(def width 80)
+(def data-shape [channels height width])
+(def num-labels 10)
+(def label-width 4)
+(def model-prefix "ocr")
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+;;
+;; Licensed to the Apache Software Foundation (ASF) under one or more
+;; contributor license agreements.  See the NOTICE file distributed with
+;; this work for additional information regarding copyright ownership.
+;; The ASF licenses this file to You under the Apache License, Version 2.0
+;; (the "License"); you may not use this file except in compliance with
+;; the License.  You may obtain a copy of the License at
+;;
+;;    http://www.apache.org/licenses/LICENSE-2.0
+;;
+;; Unless required by applicable law or agreed to in writing, software
+;; distributed under the License is distributed on an "AS IS" BASIS,
+;; WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+;; See the License for the specific language governing permissions and
+;; limitations under the License.
+;;
+
+(ns captcha.infer-ocr
+  (:require [captcha.consts :refer :all]
+            [org.apache.clojure-mxnet.dtype :as dtype]
+            [org.apache.clojure-mxnet.infer :as infer]
+            [org.apache.clojure-mxnet.layout :as layout]
+            [org.apache.clojure-mxnet.ndarray :as ndarray]))
+
+(defn create-predictor
+  []
+  (let [data-desc {:name "data"
+                   :shape [batch-size channels height width]
+                   :layout layout/NCHW
+                   :dtype dtype/FLOAT32}
+        label-desc {:name "label"
+                    :shape [batch-size label-width]
+                    :layout layout/NT
+                    :dtype dtype/FLOAT32}
+        factory (infer/model-factory model-prefix
+                                     [data-desc label-desc])]
+    (infer/create-predictor factory)))
+
+(defn -main
+  [& args]
+  (let [[filename] args
+        image-fname (or filename "captcha_example.png")
+        image-ndarray (-> image-fname
+                          infer/load-image-from-file
+                          (infer/reshape-image width height)
+                          (infer/buffered-image-to-pixels [channels height width])
+                          (ndarray/expand-dims 0))
+        label-ndarray (ndarray/zeros [1 label-width])
+        predictor (create-predictor)
+        predictions (-> (infer/predict-with-ndarray
+                         predictor
+                         [image-ndarray label-ndarray])
+                        first
+                        (ndarray/argmax 1)
+                        ndarray/->vec)]
+    (println "CAPTCHA output:" (apply str (mapv int predictions)))))