Searched refs:HDR (Results 1 – 15 of 15) sorted by relevance
49 public abstract class SIPHeaderList<HDR extends SIPHeader> extends SIPHeader implements java.util.L…55 protected List<HDR> hlist;57 private Class<HDR> myClass;65 hlist = new LinkedList<HDR>(); in SIPHeaderList()76 protected SIPHeaderList(Class<HDR> objclass, String hname) { in SIPHeaderList()88 public boolean add(HDR objectToAdd) { in add()89 hlist.add((HDR)objectToAdd); in add()100 public void addFirst(HDR obj) { in addFirst()101 hlist.add(0,(HDR) obj); in addFirst()112 public void add(HDR sipheader, boolean top) { in add()[all …]
34 HDR="-P 1"84 …netperf $HDR -T $i,$j -t omni -c -C -H $control_host -l $length $confidence -- $CSV -H $data -m 64…92 HDR="-P 1"103 …netperf $HDR -T $i,$j -t omni -c -C -H $control_host -l $length $confidence -- $CSV -H $data -s 1M…111 HDR="-P 1"122 …netperf $HDR -T $i,$j -t omni -f m -c -C -H $control_host -l $length $confidence -- $CSV -H $data…130 HDR="-P 1"141 …netperf $HDR -T $i,$j -t omni -c -C -H $control_host -l $length $confidence -- $CSV -H $data -r 1;…149 HDR="-P 1"154 …netperf $HDR -T $i -t omni -f m -c -C -H $control_host -l $length $confidence -- $CSV -H $data -s …[all …]
53 HDR="-P 1"91 …erf $HDR -t omni -c -C -H ${remote_hosts[$client]} -l $length $confidence -- $CSV -H ${remote_host…106 …rf $HDR -t omni -c -C -H ${remote_hosts[$client]} -l $length $confidence -- $CSV -H ${remote_hosts…115 HDR="-P 1"122 …HDR -t omni -f m -c -C -H ${remote_hosts[$client]} -l $length $confidence -- $CSV -H ${remote_ho…131 HDR="-P 1"140 …erf $HDR -t omni -f x -c -C -H ${remote_hosts[$client]} -l $length $confidence -- $CSV -H ${remo…
11 capture all details using a single exposure. HDR imaging works with images that use more that 8 bits14 There are different ways to obtain HDR images, but the most common one is to use photographs of the16 camera’s response function and there are algorithms to estimate it. After the HDR image has been21 In this tutorial we show how to generate and display HDR image from an exposure sequence. In our23 approach called exposure fusion that produces low dynamic range image. Each step of HDR pipeline can62 It is necessary to know camera response function (CRF) for a lot of HDR construction algorithms.65 -# **Make HDR image**71 We use Debevec's weighting scheme to construct HDR image using response calculated in the previous74 -# **Tonemap HDR image**80 … Since we want to see our results on common LDR display we have to map our HDR image to 8-bit range[all …]
5 #define HDR(x) STR(x.h) macro8 #include HDR(a)
4 ; RUN: llvm-objdump -h %t | FileCheck --check-prefix=HDR %s111 ; HDR-NOT: .debug_aranges112 ; HDR-NOT: .rela.{{.*}}.dwo
3 ; RUN: llvm-objdump -h %t | FileCheck --check-prefix=HDR %s45 ; HDR-NOT: .rela.{{.*}}.dwo51 ; HDR: .debug_addr 0000003852 ; HDR-NOT: .rela.{{.*}}.dwo
52 by png_set_alpha_mode are useful for HDR data encoding. These values54 extend the png_set_alpha_mode range as HDR imaging systems are starting
5511 by png_set_alpha_mode are useful for HDR data encoding. These values5513 extend the png_set_alpha_mode range as HDR imaging systems are starting
233 HDR = \289 TAGFILES = $(SRC) $(HDR) $(TAGHDR)446 … tar cf - $(CSRC) $(HDR) $(LIBNETDISSECT_SRC) $(EXTRA_DIST) $(TEST_DIST) | (cd $$name; tar xf -); \
63 HDR *h; in septel_read()
115 HDR = $(PUBHDR) \152 $(SRC) $(HDR)741 tar cf - $(CSRC) $(HDR) $(MAN1) $(MAN3PCAP_EXPAND) \
42 + HDR ASTC blocks
48 openexr OpenEXR is a high dynamic-range (HDR) image file format developed
84 …ownloads.html) source files are required for the library to work with this high dynamic range (HDR)