Revert merge #1292

This broke the bazel build of inception/download_and_preprocess_flowers
The way that this script is written doesn't actually allow it to be ran
outside bazel, some refactoring would be needed if you want to run it
standalone.

It should be ran using

```
bazel build inception/download_and_preprocess_flowers

bazel-bin/inception/download_and_preprocess_flowers
"${FLOWERS_DATA_DIR}"
```

inception/inception/data/build_image_data.py

@@ -198,7 +198,7 @@ def _process_image(filename, coder):
     width: integer, image width in pixels.
   """
   # Read the image file.
-  with tf.gfile.FastGFile(filename, 'rb') as f:
+  with tf.gfile.FastGFile(filename, 'r') as f:
     image_data = f.read()
 
   # Convert any PNG to JPEG's for consistency.

inception/inception/data/download_and_preprocess_flowers.sh

@@ -41,32 +41,31 @@ fi
 
 # Create the output and temporary directories.
 DATA_DIR="${1%/}"
-SCRATCH_DIR="${DATA_DIR}/raw-data"
+SCRATCH_DIR="${DATA_DIR}/raw-data/"
 mkdir -p "${DATA_DIR}"
 mkdir -p "${SCRATCH_DIR}"
-# http://stackoverflow.com/questions/59895/getting-the-source-directory-of-a-bash-script-from-within
-WORK_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
+WORK_DIR="$0.runfiles/inception/inception"
 
 # Download the flowers data.
 DATA_URL="http://download.tensorflow.org/example_images/flower_photos.tgz"
 CURRENT_DIR=$(pwd)
+cd "${DATA_DIR}"
 TARBALL="flower_photos.tgz"
 if [ ! -f ${TARBALL} ]; then
   echo "Downloading flower data set."
-  curl -o ${DATA_DIR}/${TARBALL} "${DATA_URL}"
+  curl -o ${TARBALL} "${DATA_URL}"
 else
   echo "Skipping download of flower data."
 fi
 
 # Note the locations of the train and validation data.
-TRAIN_DIRECTORY="${SCRATCH_DIR}/train"
-VALIDATION_DIRECTORY="${SCRATCH_DIR}/validation"
+TRAIN_DIRECTORY="${SCRATCH_DIR}train/"
+VALIDATION_DIRECTORY="${SCRATCH_DIR}validation/"
 
 # Expands the data into the flower_photos/ directory and rename it as the
 # train directory.
-tar xf ${DATA_DIR}/flower_photos.tgz
+tar xf flower_photos.tgz
 rm -rf "${TRAIN_DIRECTORY}" "${VALIDATION_DIRECTORY}"
-mkdir -p "${TRAIN_DIRECTORY}"
 mv flower_photos "${TRAIN_DIRECTORY}"
 
 # Generate a list of 5 labels: daisy, dandelion, roses, sunflowers, tulips
@@ -75,22 +74,22 @@ ls -1 "${TRAIN_DIRECTORY}" | grep -v 'LICENSE' | sed 's/\///' | sort > "${LABELS
 
 # Generate the validation data set.
 while read LABEL; do
-  VALIDATION_DIR_FOR_LABEL="${VALIDATION_DIRECTORY}/${LABEL}"
-  TRAIN_DIR_FOR_LABEL="${TRAIN_DIRECTORY}/${LABEL}"
+  VALIDATION_DIR_FOR_LABEL="${VALIDATION_DIRECTORY}${LABEL}"
+  TRAIN_DIR_FOR_LABEL="${TRAIN_DIRECTORY}${LABEL}"
 
   # Move the first randomly selected 100 images to the validation set.
   mkdir -p "${VALIDATION_DIR_FOR_LABEL}"
   VALIDATION_IMAGES=$(ls -1 "${TRAIN_DIR_FOR_LABEL}" | shuf | head -100)
   for IMAGE in ${VALIDATION_IMAGES}; do
-    mv -f "${TRAIN_DIRECTORY}/${LABEL}/${IMAGE}" "${VALIDATION_DIR_FOR_LABEL}"
+    mv -f "${TRAIN_DIRECTORY}${LABEL}/${IMAGE}" "${VALIDATION_DIR_FOR_LABEL}"
   done
 done < "${LABELS_FILE}"
 
 # Build the TFRecords version of the image data.
 cd "${CURRENT_DIR}"
-BUILD_SCRIPT="${WORK_DIR}/build_image_data.py"
+BUILD_SCRIPT="${WORK_DIR}/build_image_data"
 OUTPUT_DIRECTORY="${DATA_DIR}"
-python "${BUILD_SCRIPT}" \
+"${BUILD_SCRIPT}" \
   --train_directory="${TRAIN_DIRECTORY}" \
   --validation_directory="${VALIDATION_DIRECTORY}" \
   --output_directory="${OUTPUT_DIRECTORY}" \