When I try to download any version of Image Composite Editor I get a 404 error. I'm trying to access it from the following link: -us/research/product/computational-photography-applications/image-composite-editor Where else can I download this software?

I think I have setup my custom device as a DFU and USB Serial composite device (I used boot_demo_usb example for dk-tm4c129x as a starting point, and have serial USB rather than mouse HID). Although there is no Product Id for this in usb-ids.h, currently I am using USB_PID_COMP_HID_DFU, as I believe this is what the boot_demo_usb.inf file looks for.


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On my device manager (Windows 10) I see my device come up twice. Once as the serial device (which works). And the DFU part comes up in "Other devices" and displays my product string I setup in the composite device descriptor. Why is there no section for DFU devices?

I think what is happening is Windows is expecting another device to arrive along with the DFU device due to the composite setup, and it also sees a waiting CDC device. It goes ahead and enumerates the CDC device as a standalone, because the descriptors do not indicate the CDC device is part of the composite. So then when it goes to enumerate the DFU device, it's trying to do as a composite but doesn't see the second device as the CDC has already been taken care of, so the enumeration does not complete. It looks like they picked HID because it's simple and doesn't need anything advanced to work from a driver standpoint, as there are no HID drivers we deliver, while CDC needs some specific configurations.

As far as sending my usb structs file, if you mean the file with my composite device initialization, most of it is depicted in my initial pictures of this question (only change was 0x102 for tUSBDCompositeDevice PID). It has a lot of extra tx/rx stuff in it that I could gut out, but may take a bit. Lets run down my two possible errors from above first. I you would :). Then I can see about editing my structs file and sending it.

So, I think it is setup now correctly. I can now restart it in update mode, and I can send down the updated firmware. Unfortunately it does not restart in my new firmware. After a manual reset it is still not in my firmware (I can tell because the composite COMs do not come back). It is also not in the boot loader in ROM, as that DFU port does not come back either.

This article describes detail steps to create a CCE composite template to install fixes for webMethods products or a particular product. The template and bootstrapped CCE used in this article are for webMethods Product version 10.2.

The template definition describes the target state of the environment that you want to install or modify, and Command Central calculates how to achieve the target state, based on the data in the composite template.

Hello,

Anyone know how to setup this sim without steamvr using only pimaxr/openxr and/or open composite?

I tried many setups and only steamVR mode is working but I cant use openvr toolkit in that way.

Cloud Storage provides a cyclic redundancy check (CRC) header thatallows clients to verify the integrity of object contents. For non-compositeobjects Cloud Storage also provides an MD5 header to allow clients toverify object integrity, but for composite objects only the CRC is available.gsutil automatically performs integrity checks on all uploads and downloads.Additionally, you can use the gsutil hash command to calculate a CRC forany local file.

Add dramatic flair to your stories with built-in VFX, filters, and titles. Take your creative vision further with more video plugins and advanced tools to create composites, motion effects, transitions, graphics, and animation.

The full range of ArcelorMittal pre-design software dedicated to optimisation of structures made of steel and composite elements (including castellated, slim floor and truss beams) according to standards, advanced fire engineering, seismic/earthquake design, predesign of several typologies of bridges and life-cycle assessments.

Software designs composite floor slabs at elevated temperatures by taking into account the enhancing effects of the membrane action in slab. It also verifies the edge beams and determines the maximum temperature of each beam.

Predesign of straight, skewed and/or curved filler beam, composite and PreCoBeam bridges for roads, rails and pedestrian, according to EN Eurocodes. For railway bridges, the software allows for the dynamic predesign of high-speed trains according to EN 1991-2.

Program to score the SF-36 version 1.0. All sections require SF36 version 1.0 items to be named i1-i36 and ID variable named ID (in order to merge the various output datasets); one section (sf36b.sas) requires a variable for gender named MALE (=1 if male, =0 if female) and a variable for AGE (continuous). Note: if you want to run sf36b.sas, you must run sf36a.sas prior to it. Code to calculate Fryback's QWB is in fryback.sas and is called from sf36a.sas. The %include can be commented out if not needed. Similarly, code to calculate Nichol's HUI2 (hui2.sas) is called from sf36c.sas and can be commented out or omitted if not needed.


Download main program (score1.sas) and its components:

randhsi.sas [RAND-36 HSI score], sf36a.sas [SF-36 scores and optionally Fryback's Quality of Well-Being Score], sf36b.sas [comparison to US general population], and sf36c.sas [SF-36 and SF-12 physical and mental health composite scores and factors (using 1990 General Population norms) and Nichol's Health Utility Index].


Note: randhsi.sas updated as of 6/30/2010. Thanks to Brett Larive at Cleveland Clinic for bringing to our attention a scoring glitch when IMPUTEd values fell on boundaries (see code for more detail and example).


Note: to use the Means/SD's from the 1998 General Population, download and use score1-1998.sas and sf36c1998.sas (instead of score1.sas and sf36c.sas).


Note: QWB (not just QWB100) code change in Fryback code (fryback.sas above) and files that call it up (6/30/2008).

The Landsat data processing includes four steps: (1) conversion to radiometric quantity, (2) observation quality assessment, (3) reflectance normalization, and (4) temporal integration into 16-day composites.

The normalization target data were collected from the MODIS 44C surface reflectance product. We used MODIS bands with a similar wavelength to the selected Landsat bands (see Table 1). MODIS surface reflectance and brightness temperature were scaled using the same coefficients as for the processed Landsat data. To ensure spatial consistency of reflectance target dataset, we used all 16-day global MODIS observation composites from the year 2000 to 2011. To reduce the effects of atmospheric contamination and surface anisotropy, only near-nadir clear-sky and low aerosol observations were retained in the time-series. From all selected observations, a single reflectance composite was created for each spectral band. We calculated the normalization target composite value as the mean reflectance of observations with normalized difference vegetation index (NDVI) above the 75% percentile.

We define the pseudo-invariant target pixels as clear-sky land observations that represent the same land cover type and phenology stage in Landsat image and MODIS normalization target composite. To check for the land cover type and condition, we calculate the absolute difference between Landsat and MODIS spectral reflectance for red and shortwave infrared bands and select pixels with difference below 0.1 reflectance value for both spectral bands. Bright objects (with red band reflectance above 0.5) are excluded from the mask. Landsat images with less than 10,000 selected pseudo-invariant target pixels are discarded from the processing chain.

Temporal compositing is done per-pixel using all overlapping observations within the 16-day interval. From all available observations we retain the one with the highest observation quality. The proximity to clouds/shadows is used as a criterion to select the least contaminated observation. If several clear-sky observations were available, the per-band mean reflectance value is retained in the composite. Each 16-day composite consists of normalized surface reflectance for six spectral bands (blue, green, red, NIR, and two SWIR), normalized brightness temperature, and the quality flag as separate raster layers. The 16-day interval composites are stored in the geographic coordinates (+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs) as raster tiles of 1.0005 by 1.0005 degree size and pixel size of 0.00025 degree. The tile system features a 2-pixel overlap to simplify parallelization of the focal average computation. For detailed information about the Landsat ARD see Landsat ARD Structure section.

In addition to spectral metrics, the metric generation software produces a set of technical layers including the number of cloud-free 16-day composites, gap-filling algorithm outputs, data quality, and water presence.

The annual change detection metrics were designed to highlight inter-annual changes of spectral reflectance while reducing false detections due to reflectance fluctuations and inconsistent clear-sky observation availability. Metrics represent a set of statistics extracted from (a) the normalized surface reflectance time-series of the current and preceding years, independently, (b) the array of differences in 16-day composite values between the current and preceding years, and (c) the entire time interval. These statistics are stored as a set of 16-bit unsigned raster files in the same tile system as 16-day composites (see Landsat ARD Structure for details).

In addition to spectral metrics, the metric generation software produces a set of technical layers including the number of cloud-free 16-day composites, gap-filling algorithm outputs, and data quality. be457b7860

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