dswitkin 67656a7ee3 Reworked the false positives unit tests to track each rotation separately, and to allow new tests to be added. I also removed four images which are going to live in another test. ... git-svn-id: https://zxing.googlecode.com/svn/trunk@475 59b500cc-1b3d-0410-9834-0bbf25fbcc57		2008-06-25 00:51:37 +00:00
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01.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
02.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
03.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
04.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
05.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
06.jpg	Reworked the false positives unit tests to track each rotation separately, and to allow new tests to be added. I also removed four images which are going to live in another test.	2008-06-25 00:51:37 +00:00
07.jpg	Reworked the false positives unit tests to track each rotation separately, and to allow new tests to be added. I also removed four images which are going to live in another test.	2008-06-25 00:51:37 +00:00
08.jpg	Reworked the false positives unit tests to track each rotation separately, and to allow new tests to be added. I also removed four images which are going to live in another test.	2008-06-25 00:51:37 +00:00
09.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
10.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
11.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
12.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
13.jpg	Reworked the false positives unit tests to track each rotation separately, and to allow new tests to be added. I also removed four images which are going to live in another test.	2008-06-25 00:51:37 +00:00
14.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
15.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
16.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
17.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
18.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
19.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
20.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
21.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00
22.jpg	Created a library of images which do not contain barcodes, or contain barcodes we don't yet support. Wrote a new unit test designed to identify false positives, and set a benchmark which we can improve over time. Out of these 26 images, tested in all four rotations, we currently find 44/104 false positives. The Code 39 decoder in particular seems to be too lenient.	2008-06-17 18:35:16 +00:00