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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/01/10 00:53:17 UTC
[GitHub] gigasquid commented on a change in pull request #13769: Clojure
example for fixed label-width captcha recognition
gigasquid commented on a change in pull request #13769: Clojure example for fixed label-width captcha recognition
URL: https://github.com/apache/incubator-mxnet/pull/13769#discussion_r246604276
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File path: contrib/clojure-package/examples/captcha/src/captcha/train_ocr.clj
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@@ -0,0 +1,156 @@
+;;
+;; 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.train-ocr
+ (:require [captcha.consts :refer :all]
+ [clojure.java.io :as io]
+ [clojure.java.shell :refer [sh]]
+ [org.apache.clojure-mxnet.callback :as callback]
+ [org.apache.clojure-mxnet.context :as context]
+ [org.apache.clojure-mxnet.eval-metric :as eval-metric]
+ [org.apache.clojure-mxnet.initializer :as initializer]
+ [org.apache.clojure-mxnet.io :as mx-io]
+ [org.apache.clojure-mxnet.module :as m]
+ [org.apache.clojure-mxnet.ndarray :as ndarray]
+ [org.apache.clojure-mxnet.optimizer :as optimizer]
+ [org.apache.clojure-mxnet.symbol :as sym])
+ (:gen-class))
+
+(when-not (.exists (io/file "captcha_example/captcha_train.lst"))
+ (sh "./get_data.sh"))
+
+(defonce train-data
+ (mx-io/image-record-iter {:path-imgrec "captcha_example/captcha_train.rec"
+ :path-imglist "captcha_example/captcha_train.lst"
+ :batch-size batch-size
+ :label-width label-width
+ :data-shape data-shape
+ :shuffle true
+ :seed 42}))
+
+(defonce eval-data
+ (mx-io/image-record-iter {:path-imgrec "captcha_example/captcha_test.rec"
+ :path-imglist "captcha_example/captcha_test.lst"
+ :batch-size batch-size
+ :label-width label-width
+ :data-shape data-shape}))
+
+(defn accuracy
+ [label pred & {:keys [by-character]
+ :or {by-character false} :as opts}]
+ (let [[nr nc] (ndarray/shape-vec label)
+ pred-context (ndarray/context pred)
+ label-t (-> label
+ ndarray/transpose
+ (ndarray/reshape [-1])
+ (ndarray/as-in-context pred-context))
+ pred-label (ndarray/argmax pred 1)
+ matches (ndarray/equal label-t pred-label)
+ [digit-matches] (-> matches
+ ndarray/sum
+ ndarray/->vec)
+ [complete-matches] (-> matches
+ (ndarray/reshape [nc nr])
+ (ndarray/sum 0)
+ (ndarray/equal label-width)
+ ndarray/sum
+ ndarray/->vec)]
+ (if by-character
+ (float (/ digit-matches nr nc))
+ (float (/ complete-matches nr)))))
+
+(defn get-data-symbol
+ []
+ (let [data (sym/variable "data")
+ ;; normalize the input pixels
+ scaled (sym/div (sym/- data 127) 128)
Review comment:
Great way to normalize the pixels 💯
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