From accf3a59c8b17c70dcc39e8f7daede017190086d Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 31 Oct 2017 19:10:31 +0000
Subject: [PATCH] Validate and recall always with batch=1

---
 README.md |    7 ++++++-
 1 files changed, 6 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index b79cd21..da2f519 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,7 @@
 # Yolo-v2 Windows and Linux version
 
+[![CircleCI](https://circleci.com/gh/AlexeyAB/darknet.svg?style=svg)](https://circleci.com/gh/AlexeyAB/darknet)
+
 1. [How to use](#how-to-use)
 2. [How to compile on Linux](#how-to-compile-on-linux)
 3. [How to compile on Windows](#how-to-compile-on-windows)
@@ -87,6 +89,9 @@
 * 194 MB VOC-model - WebCamera #0: `darknet.exe detector demo data/voc.data yolo-voc.cfg yolo-voc.weights -c 0`
 * 186 MB Yolo9000 - image: `darknet.exe detector test cfg/combine9k.data yolo9000.cfg yolo9000.weights`
 * 186 MB Yolo9000 - video: `darknet.exe detector demo cfg/combine9k.data yolo9000.cfg yolo9000.weights test.mp4`
+* To process a list of images `image_list.txt` and save results of detection to `result.txt` use:                             
+    `darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights < image_list.txt > result.txt`
+    You can comment this line so that each image does not require pressing the button ESC: https://github.com/AlexeyAB/darknet/blob/6ccb41808caf753feea58ca9df79d6367dedc434/src/detector.c#L509
 
 ##### For using network video-camera mjpeg-stream with any Android smartphone:
 
@@ -202,7 +207,7 @@
 
 1. Train it first on 1 GPU for like 1000 iterations: `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg darknet19_448.conv.23`
 
-2. Then stop and by using partially-trained model `/backup/yolo-voc_1000.weights` run training with multigpu (up to 4 GPUs): `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg yolo-voc_1000.weights -gpus 0,1,2,3`
+2. Then stop and by using partially-trained model `/backup/yolo-voc_1000.weights` run training with multigpu (up to 4 GPUs): `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg /backup/yolo-voc_1000.weights -gpus 0,1,2,3`
 
 https://groups.google.com/d/msg/darknet/NbJqonJBTSY/Te5PfIpuCAAJ
 

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