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a few more fixes

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1 parent fb7886e commit 5601cb3ace44192d3544629b48f758dced84020c @liuliu committed Nov 10, 2012
Showing with 16 additions and 5 deletions.
  1. +3 −3 README.md
  2. +11 −0 THANKS
  3. +1 −1 test/functional/makefile
  4. +1 −1 test/regression/makefile
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@@ -30,11 +30,11 @@ One core concept of ccv development is "application driven". As a result, ccv
end up implementing a handful state-of-art algorithms. It includes
a very fast detection algorithm for rigid object (face etc.), an accurate
object detection algorithm for somewhat difficult object (pedestrian, cat etc.),
-a state-of-art text detection algorithm</a>, and the long-standing feature point
-detection algorithm.
+a state-of-art text detection algorithm, a long term object tracking algorithm,
+and the long-standing feature point detection algorithm.
For computer vision community, there is no shortage of good algorithms, good
implementation is what it lacks of. After years, we stuck in between either the
high-performance, battle-tested but old algorithm implementations, or the new,
shining but Matlab algorithms. ccv is my take on this problem, hope you enjoy
-it.
+it.
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11 THANKS
@@ -0,0 +1,11 @@
+Thanks to:
+
+Andrew Perrault, for providing his SWT implementation as a baseline check
+
+Michael Shapiro, for fixing libpng support on Mac OSX
+
+Zifei Tong, for 16-bit PNG bug fix
+
+Michael Ledford, for fixing 0.2 version on Mac OSX
+
+alantrrs, for his TLD evaluation scripts and datasets
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@@ -1,5 +1,5 @@
CC = `cat ../../lib/.CC`# -fprofile-arcs -ftest-coverage
-LDFLAGS = -L"../../lib" -lccv -pthread `cat ../../lib/.LN`
+LDFLAGS = -L"../../lib" -lccv `cat ../../lib/.LN`
CFLAGS = -O3 -msse2 -Wall -I"../../lib" -I"../" `cat ../../lib/.DEF`
TARGETS = algebra.tests util.tests numeric.tests basic.tests memory.tests io.tests transform.tests
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@@ -1,5 +1,5 @@
CC = `cat ../../lib/.CC`
-LDFLAGS = -L"../../lib" -lccv -pthread `cat ../../lib/.LN`
+LDFLAGS = -L"../../lib" -lccv `cat ../../lib/.LN`
CFLAGS = -O3 -msse2 -Wall -I"../../lib" -I"../" `cat ../../lib/.DEF`
TARGETS = defects.l0.1.tests

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