docs: Remove semicolon from for loop for bash

docs/accuracy.md

@@ -21,7 +21,7 @@ in `./data/lfw/raw` and `./data/lfw/deepfunneled`.
 1. Install prerequisites as below.
 2. Preprocess the raw `lfw` images, change `8` to however many
    separate processes you want to run:
-   `for N in {1..8}; do ./util/align-dlib.py data/lfw/raw align affine data/lfw/dlib-affine-sz:96 --size 96 &; done`.
+   `for N in {1..8}; do ./util/align-dlib.py data/lfw/raw align affine data/lfw/dlib-affine-sz:96 --size 96 & done`.
    Fallback to deep funneled versions for images that dlib failed
    to align:
    `./util/align-dlib.py data/lfw/raw align affine data/lfw/dlib-affine-sz:96 --size 96 --fallbackLfw data/lfw/deepfunneled`

docs/demo-3-classifier.md

@@ -41,7 +41,7 @@ person-m
 ### 2. Preprocess the raw images
 Change `8` to however many
 separate processes you want to run:
-`for N in {1..8}; do ./util/align-dlib.py <path-to-raw-data> align affine <path-to-aligned-data> --size 96 &; done`.
+`for N in {1..8}; do ./util/align-dlib.py <path-to-raw-data> align affine <path-to-aligned-data> --size 96 & done`.
 
 ### 3. Generate Representations
 `./batch-represent/main.lua -outDir <feature-directory> -data <path-to-aligned-data>`

docs/training-new-models.md

@@ -46,7 +46,7 @@ person-m
 ## 2. Preprocess the raw images
 Change `8` to however many
 separate processes you want to run:
-`for N in {1..8}; do ./util/align-dlib.py <path-to-raw-data> align affine <path-to-aligned-data> --size 96 &; done`.
+`for N in {1..8}; do ./util/align-dlib.py <path-to-raw-data> align affine <path-to-aligned-data> --size 96 & done`.
 Prune out directories with less than N (I use 10) images
 per class with `./util/prune-dataset.py <path-to-aligned-data> --numImagesThreshold <N>` and
 then split the dataset into `train` and `val` subdirectories

docs/visualizations.md

@@ -46,7 +46,7 @@ person-m
 ## 2. Preprocess the raw images
 Change `8` to however many
 separate processes you want to run:
-`for N in {1..8}; do ./util/align-dlib.py <path-to-raw-data> align affine <path-to-aligned-data> --size 96 &; done`.
+`for N in {1..8}; do ./util/align-dlib.py <path-to-raw-data> align affine <path-to-aligned-data> --size 96 & done`.
 
 ## 3. Generate Representations
 `./batch-represent/main.lua -outDir <feature-directory> -data <path-to-aligned-data>`