Processing 2

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SHIPPING TIME AND COST DOMESTIC US SHIPPING PROCESSING + SHIPPING TIME COST Economy (Orders below $70) Processing: 2-3 business days; Shipping: 4-6 business days $5.95 Priority (Orders below $70) Processing: 2-3 business days; Shipping: 2-3 business days $9.50 Priority (Orders $70 or more) Processing: 2-3 business days; Shipping: 2-3 business days FREE Express Processing: 1-2 business days; Shipping: 1-2 business days $13.95 CANADA SHIPPING PROCESSING + SHIPPING TIME COST Economy (Orders below $137 CAD) Processing: 1-3 business days; Shipping: 6-10 business days $21.99 CAD Economy (Orders $137 to $204.99 CAD) Processing: 1-3 business days; Shipping: 6-10 business days $9.99 CAD Economy (Orders $205 CAD or more) Processing: 1-3 business days; Shipping: 6-10 business days FREE Express (Orders $150 or more) Processing: 2-3 business days; Shipping: 1-3 business days FREE Express (Orders below $150) Processing: 2-3 business days; Shipping: 1-3 business days $13.95 WORLDWIDE SHIPPING PROCESSING + SHIPPING TIME COST DHL EXPRESS Processing: 1-3 business days; Shipping: 6-10 business days CALCULATED AT CHECKOUT Processing Orders usually take 1-3 business days to process. Time typically increases during sales, product releases, and holidays. Shipping Orders are shipped via USPS First Class by default, which varies between 5-7 business days. Priority Mail can be selected at checkout for 2-day shipping. DUTIES & TAXES **Duties/GST/Taxes are NON REFUNDABLE once your order has shipped**We suggest contacting your local customs office if you are unsure of the applicable taxes and customs fees that are relevant to your purchase.Lotus & Luna is not responsible for any additional taxes and customs charges that are requested during the shipment of your order. If an order is refused by a customer due to customs duty, taxes and/or fees, subsequent fees may be deducted from your refund if applicable. Still need help? Send us an email at customerservice@lotusandluna.com and we'll do our best to get you the answers you need!

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Download Processing 4.3.2 Date released: 12 Dec 2024 (3 months ago) Download Processing 4.3 Date released: 12 Aug 2023 (one year ago) Download Processing 4.2 Date released: 21 Feb 2023 (2 years ago) Download Processing 4.1.3 Date released: 10 Feb 2023 (2 years ago) Download Processing 4.1.2 Date released: 17 Jan 2023 (2 years ago) Download Processing 4.1.1 Date released: 29 Nov 2022 (2 years ago) Download Processing 3.5.4 (64-bit) Date released: 17 Jan 2020 (5 years ago) Download Processing 3.5.4 (32-bit) Date released: 17 Jan 2020 (5 years ago) Download Processing 3.5.3 (64-bit) Date released: 04 Feb 2019 (6 years ago) Download Processing 3.5.3 (32-bit) Date released: 04 Feb 2019 (6 years ago) Download Processing 3.5.2 (64-bit) Date released: 23 Jan 2019 (6 years ago) Download Processing 3.5.2 (32-bit) Date released: 23 Jan 2019 (6 years ago) Download Processing 3.5.1 (64-bit) Date released: 21 Jan 2019 (6 years ago) Download Processing 3.5 (64-bit) Date released: 20 Jan 2019 (6 years ago) Download Processing 3.4 (64-bit) Date released: 27 Jul 2018 (7 years ago) Download Processing 3.4 (32-bit) Date released: 27 Jul 2018 (7 years ago) Download Processing 3.3.7 (64-bit) Date released: 13 Mar 2018 (7 years ago) Download Processing 3.3.7 (32-bit) Date released: 13 Mar 2018 (7 years ago) Download Processing 3.3.6 (64-bit) Date released: 05 Sep 2017 (8 years ago) Download Processing 3.3.6 (32-bit) Date released: 05 Sep 2017 (8 years ago)

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Will appear in the list of monitors.You can define as many monitors as you like subject to the system resources you have and the product edition that you are using. Additionally, monitors can be enabled and disabled with a single click.You can also save and open monitor lists easily, so you can reuse your monitor setups later. Processing in Automatic ModeIn automatic mode processing works in 2 stages. First, the monitor(s) scan the specified folder(s) for any valid files, and add them to the processing queue. Then the program automatically processes all the files in that queue. These 2 stages need not be consecutive, as the program begins processing as soon as the queue is non-empty.Unlike in the Manual Mode, in the Automatic Mode you can pause processing, make the changes to the actions in the actions sequence and / or the monitors, and then resume. Triggered / Scheduled Processing Mode Triggered or Scheduled Processing Mode lets you define different processing jobs that can be executed on schedule or a particular trigger, such as: on every Monday at 2:00; at Logon; on a particular system event; etc.The program does not need to be running for the processing job to be activated - it will be automatically started with the right command line parameters at the right time by Windows Task Scheduler Service (which needs to be enabled for this feature to work) and begin performing the tasks defined by the processing job. Processing jobs are easily managed within the program, but should the need arise, you can also modify their properties in Windows Task Scheduler directly. Batch Text File Editor can perform processing jobs in 3 different modes: Command Line Mode - only the console window will be displayed. GUI Mode - program is launched and performs processing displaying progress in regular Graphical User Interface. Invisible Mode - no user interface of any kind is shown, and the processing job is performed in the background. All processing jobs can be different: for every job you can specify not only the trigger or schedule that will determine when it runs, but also the files to be processed, actions to be performed, output file name pattern and directory, and a host of other options. Triggered / Scheduled Processing Mode In Triggered or Scheduled Processing Mode, file processing is started upon a specified event (trigger) or at a specific time as per the specified schedule. You can create as many triggered/scheduled processing jobs as you want - all with different schedules, files to process, actions to perform, and other settings. Batch Text File Editor need not be running in order for the processing jobs to be activated, the program and processing is started automatically by Windows Task Scheduler Service. Creating Processing Jobs Creating a processing jobs is straight forward. You define some general settings such as job's name, mode of operation. Then you specify the job's schedule or trigger that will determine when the processing job is actually ran. Finally you specify the. Features - Process Hacker Process Hacker 2. Process Hacker Features. A very incomplete feature list for Process Hacker 2: Processes View processes in a tree view with highlighting Process Hacker 2. Process Hacker Features. A very incomplete feature list for Process Hacker 2: Processes View processes in a tree view with highlighting View detailed process statistics

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Than 1 sample in each frame (column). For examples that show how to generate signals using these blocks, see Create Signals for Sample-Based Processing and Create Signals for Frame-Based Processing.You can further process the signals generated by the blocks using several signal processing algorithm blocks in DSP System Toolbox. The processing blocks process the signal one sample at a time (sample-based processing) or one frame at a time (frame-based processing) depending on the Input processing parameter. Sample-Based Processing and Frame-Based ProcessingIn the Simulink environment, you can choose to process the signal either in the sample-based mode or in frame-based mode. However, in the MATLAB environment, System objects always process frames. MATLAB does not perform sample-based processing.The next two sections provide more details on sampled-based processing and frame-based processing.What Is Sample-Based Processing?In sample-based processing, blocks process signals one sample at a time. Each element of the input signal represents one sample in a distinct channel. If the input signal is a matrix, each element corresponds to the same time. For example, from a sample-based processing perspective, this 3-by-2 matrix contains the first sample in each of the six independent channels.When you configure a block to perform sample-based processing, the block interprets a scalar input as a single-channel signal. Similarly, the block interprets an M-by-N matrix as a multichannel signal with M*N independent channels. For example, in sample-based processing, blocks interpret this sequence of 3-by-2 matrices as a six-channel signal.What Is Frame-Based Processing?In frame-based processing, blocks and System objects process data in frames. Each frame of data contains samples of consecutive times stacked together. Each channel is represented by a column of the input signal. For example, from a frame-based processing perspective, this 3-by-2 matrix has two channels, each containing three samples.When you configure a block to perform frame-based processing, the block interprets an M-by-1 vector as a single-channel signal containing M samples per frame. Similarly, the block interprets an M-by-N matrix as a multichannel signal with N independent channels and M samples per channel. For example, in frame-based processing, blocks interpret this sequence of 3-by-2 matrices as a two-channel signal with a frame size of 3.Benefits of Frame-Based ProcessingFrame-based processing improves the simulation performance since the algorithm processes multiple samples at once reducing the overhead. It also more closely mimics how streams of signal data are handled by real-time digital signal processing systems allowing for more accurate simulations of real world

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Project is to generate only a 3D model (no DSM or orthomosaic), the template selected for processing is 3D Models.14. Select the 3D Models template.15. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.B) Process the project:1. On the Processing bar, click Start to start the processing.C) Improve the project:To improve the results of the Densified Point Cloud and the 3D Textured mesh, the following Processing Options can be selected:1. On the Menu bar click Process > Processing Options...2. Select the processing step 1. Initial Processing.3. Select the tab General.4. In the section Keypoints Image Scale, select Custom and from the drop down list select 1 (Original Image size).Note: This selection allows to extract the keypoints using the original image size.5. In the Processing Options window click 2. Point Cloud and Mesh.6. Select the tab Point Cloud.7. In the Point Cloud Densification section click the drop-down list Image scale and select 1 (Original Image size, Slow) and from the drop-down list Point Density select High (Slow).Note: The original image size is used to compute additional 3D points. More points are computed especially in areas where features can be easily matched. By selecting High Point Density, a 3D point will be computed for every Image Scale pixel. For more information about the Processing Options: Menu Process > Processing Options... > 2. Point Cloud and Mesh > Point Cloud.8. Click OK.9. On the Processing bar, click Start to start the processing.Industrial building – Parrot Bebop 2Download dataset or view in PIX4DcloudThe goal of this project is to get a 3D model of industrial building. Images were acquired with Parrot Bebop 2 using PIX4Dcapture.General project informationProjectLocationNantes, FranceAverage Ground Sampling Distance (GSD)9.25 cm / 3.64 inArea covered0.0113 km2 / 1.13 ha / 0.0043 sq. mi. / 2.79 acresOutput coordinate systemWGS84 / UTM zone 30NVertical Coordinate System: MSL egm96Image acquisitionUAVParrot Bebop 2Image acquisition softwarePIX4DcaptureImage acquisition planGrid Mission and Circular MissionCameraBebop 2 cameraImagesNumber of images138Image size4096x3320Image geolocation coordinate systemWGS84Download project filesThe dataset can be downloaded here and can be found processed on PIX4Dcloud here.The downloaded folder contains the following files and folders:images: RGB images in JPG format.example_bebop2_industrial_building.p4d: project file that can be opened in PIX4D Desktop.InstructionsProcess the dataset using the included .p4d project fileThis section describes how to process the dataset in order to generate a 3D textured mesh of the building using Parrot Bebop 2.1. Open the project example_bebop2_industrial_building.p4d.2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.Note: As the goal of this project is to generate the 3D textured mesh (no DSM and orthomosaic), the template used for the processing has been set to 3D Models. This can be seen in Process > Processing Options...3. On the Processing bar, click Start to start processing.Process the dataset creating a new projectThis section describes how to create and process a project in order to generate a 3D mesh of a house.A) Create a new

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Digital Camera World VerdictDxO PureRAW 2 is for anyone who’s even slightly pernickety about raw image processing. Its exceptional DeepPRIME noise reduction may only be obvious at higher ISOs, but can still subtly improve regular images, along with DxO’s very good lens corrections. It’s not cheap but, as they always say, quality never is. Pros+Simple conversion workflow+Lightroom Classic integration+Excellent lens corrections+Extraordinary high-ISO qualityCons-Linear DNGs 2-3x larger than raws-Processing takes timeWhy you can trust Digital Camera WorldOur expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out how we test.DxO PureRAW 2 takes the raw image processing and denoising technology in DxO’s flagship software, PhotoLab 5, and puts it into a simple image conversion utility. The idea is that you get all the quality of DxO’s processing but in a simple batch-processing utility.PureRAW 2 can output processed JPEGs, with noise reduction and lens corrections applied or, more interestingly, Linear DNG files. These are like part-processed raw files that behave just like regular raw files in your software, but have DxO’s own demosaicing and denoising process pre-applied.Key featuresDxO PureRAW 2 now supports Fujifilm X-Trans files! It's been a long wait for Fujifilm fans, but now they can get the benefit of DxO's processing too. (Image credit: Rod Lawton/Digital Camera World)DxO acknowledges the huge Lightroom user base out there and now integrates its PureRAW processing tech as a plug-in tool. (Image credit: Rod Lawton/Digital Camera World)PureRAW 2 can be used as a standalone program, as a tool available directly in the Mac Finder or Windows Explorer or – perhaps most significantly of all – directly from within Adobe Lightroom Classic.DxO acknowledges the huge popularity of Lightroom and the fact that many photographers won’t want to switch software or workflows, so this new version of PureRAW tackles that with a new export plug-in that allows you to round-trip raw files from within Lightroom to DxO PureRAW 2, where they’ll be converted to Linear DNGs and returned to Lightroom as a new file alongside the original.This new workflow means that you don’t have to batch process raw images in PureRAW before importing them into Lightroom, and you can be much more selective about the images you want to enhance.With low-ISO images, you may not see much difference between Lightroom’s raw processing and DxO’s – at least not enough to worry about. But at medium-high ISOs, DxO’s processing advantage quickly becomes apparent. Adobe’s raw processing might the most convenient option for many photographers, but it’s pretty poor at balancing noise and detail at higher sensitivity settings.Another new feature in PureRAW 2 is Fujifilm X-Trans support. This has been a long time coming, and at last opens

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Doing pre-shared key authentication using id type ID_IPV4_ADDR*Mar 2 00:30:26.229: ISAKMP (0:1): sending packet to 100.1.1.1 (R) MM_SA_SETUP*Mar 2 00:30:26.417: ISAKMP (0:1): received packet from 100.1.1.1 (R) MM_SA_SETUP*Mar 2 00:30:26.417: ISAKMP (0:1): processing KE payload. message ID = 0*Mar 2 00:30:26.417: CryptoEngine0: generate alg parameter*Mar 2 00:30:26.589: ISAKMP (0:1): processing NONCE payload. message ID = 0*Mar 2 00:30:26.589: ISAKMP (0:1): found peer pre-shared key matching 100.1.1.1*Mar 2 00:30:26.593: CryptoEngine0: create ISAKMP SKEYID for conn id 1*Mar 2 00:30:26.593: ISAKMP (0:1):SKEYID state generated*Mar 2 00:30:26.593: ISAKMP (0:1): processing vendor id payload*Mar 2 00:30:26.593: ISAKMP (0:1): speaking to another IOS box!*Mar 2 00:30:26.593: ISAKMP (0:1): sending packet to 100.1.1.1 (R) MM_KEY_EXCH*Mar 2 00:30:26.813: ISAKMP (0:1): received packet from 100.1.1.1 (R) MM_KEY_EXCH*Mar 2 00:30:26.817: ISAKMP (0:1): processing ID payload. message ID = 0*Mar 2 00:30:26.817: ISAKMP (0:1): processing HASH payload. message ID = 0*Mar 2 00:30:26.817: CryptoEngine0: generate hmac context for conn id 1!--- Peer is authenticated.*Mar 2 00:30:26.817: ISAKMP (0:1): SA has been authenticated with 100.1.1.1*Mar 2 00:30:26.817: ISAKMP (1): ID payload next-payload : 8 type : 1 protocol : 17 port : 500 length : 8*Mar 2 00:30:26.817: ISAKMP (1): Total payload length: 12*Mar 2 00:30:26.817: CryptoEngine0: generate hmac context for conn id 1*Mar 2 00:30:26.817: CryptoEngine0: clear dh number for conn id 1*Mar 2 00:30:26.821: ISAKMP (0:1): sending packet to 100.1.1.1 (R) QM_IDLE*Mar 2 00:30:26.869: ISAKMP (0:1): received packet from 100.1.1.1 (R) QM_IDLE*Mar 2 00:30:26.869: CryptoEngine0: generate hmac context for conn id 1*Mar 2 00:30:26.869: ISAKMP (0:1): processing HASH payload.. Features - Process Hacker Process Hacker 2. Process Hacker Features. A very incomplete feature list for Process Hacker 2: Processes View processes in a tree view with highlighting Process Hacker 2. Process Hacker Features. A very incomplete feature list for Process Hacker 2: Processes View processes in a tree view with highlighting View detailed process statistics

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Platform for large-scale data processing. Its versatility and ability to handle a wide range of data processing tasks make it a valuable tool for many data engineering projects.Features:Batch processing: Spark supports batch data processing for large-scale data sets.Stream processing: Spark also supports stream processing for real-time data processing.SQL: Spark provides an integrated SQL interface for querying and manipulating data.Machine learning: Spark includes built-in support for machine learning algorithms and models.Graph processing: Spark provides a graph processing engine for graph-based data processing tasks.Pros:Fast data processing: Spark’s in-memory architecture allows for fast data processing speeds.Versatile: Spark supports a wide range of data processing tasks, making it a flexible tool for many data engineering projects.Scalable: Spark is designed for scalable data processing, allowing for smooth growth as data grows.Large community: Spark has a large and active community of users and developers, providing support and expertise.Cons:Difficult setup: Setting up and configuring Spark can be challenging and requires a strong understanding of distributed systems.Resource-intensive: Spark requires significant computing resources, which may be challenging for smaller or less powerful systems.Additional tools needed: Spark may require additional tools and technologies, such as a cluster management framework, for effective management of large-scale data processing workloads.2. Apache AirflowApache Airflow is an open-source workflow management platform for automating and orchestrating data pipelines. It helps data engineers build, schedule, and monitor complex data workflows in a simple and scalable manner.Airflow comes in at #2 in our ranking of data engineering tools.Why Apache Airflow?Airflow is an essential tool for data engineers as

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Creating a new projectThis section describes how to create and process a project in order to generate the 3D model of the statue of an eagle.A) Create a new project:1. Start PIX4Dmapper.2. On the menu bar, click Project > New Project....3. The New Project wizard opens.4. In Name: Type a name for the project. In this example type example_eagle.5. (optional) In Create In: Click on Browse, and on the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.7. In the section Project Type, keep selected the default option New Project.8. Click Next.The New Project wizard displays the Select Images window.9. Click Add Directories... and select the images folder to add the images to the project.10. Click Next.The New Project wizard displays the Image Properties window. No image geolocation is detected. The camera model is loaded from the camera model database (CanonEOS7D_EF-S15-85mmf/3.5-5.6ISUSM_15.0_5184x3456 (RGB)).11. Click Next.The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.12. Select Arbitrary Coordinate System with Unit meters.13. Click Next.The New Project wizard displays the Processing Options Template window.Note: As the goal of this project is to generate only the 3D model (no DSM and orthomosaic), and as it has been taken using terrestrial images, the template to be selected is the 3D Models.14. Select the 3D Models template.15. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.B) Process the project:1. On the Processing bar, select 1. Initial Processing, and deselect 2. Point Cloud and Mesh.2. On the Processing bar, click Start to start the processing.When Initial Processing finishes, the rayCloud opens.3. Use the rayCloud to define a Processing Area to remove noisy points from the background and to keep only points of the statue. For more information about how to draw a Processing Area with the rayCloud: How to use a processing area in PIX4Dmapper Desktop.Note: The Processing Area used:4. Edit the Processing Area such that the height adjusts to the height of the statue. For more information about how to edit a Processing Area with the rayCloud: How to edit a processing area in the rayCloud.Note: In the above Processing Area, the Maximum and Minimum Altitude are set to 50.00 [m] and -100.00 [m] respectively.5. On the Processing bar, deselect 1. Initial Processing, and select 2. Point Cloud and Mesh.6. On the Processing bar, click Start to start processing.ForensicDownload datasetThe goal of this project is to generate the Point Cloud and the 3D Textured Mesh of a forensic. Features - Process Hacker Process Hacker 2. Process Hacker Features. A very incomplete feature list for Process Hacker 2: Processes View processes in a tree view with highlighting Process Hacker 2. Process Hacker Features. A very incomplete feature list for Process Hacker 2: Processes View processes in a tree view with highlighting View detailed process statistics

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Important: The results of the point cloud classification are used for the DTM generation during step 3.DSM, Orthomosaic and Index: How to automatically generate a Digital Terrain Model (DTM). The point cloud classification requires a georeferenced project. This process computes a point cloud classification using the densified point cloud that is generated during step 2.Point Cloud and Mesh. Each point is automatically classified in one of the following predefined groups: Ground Road Surface High Vegetation Building Human Made Object The point cloud classification can be performed: During processing step 2. Point Cloud and MeshAfter processing step 2. Point Cloud and Mesh In order to perform the point cloud classification while processing step 2. Point Cloud and Mesh: On the menu bar, click Process > Processing Options... Select the processing step 2. Point Cloud and Mesh. Select the tab Point Cloud. In the section Point Cloud Classification, select the box Classify Point Cloud. Click OK. Process step 2. Point Cloud and Mesh. In order to perform the point cloud classification after processing step 2. Point Cloud and Mesh: On the menu bar, click Process > Run Point Cloud Classification. Warning: When reprocessing step 2. Point Cloud and Mesh, the existing outputs and all edits will be deleted and overwritten. The generated point groups can be visualized in the rayCloud and exported in several file formats: Visualize the point cloud groupsExport the point cloud groups Visualize the point cloud groups The Point Groups layer has a Display Properties sub-layer that can be used to select the point groups to be displayed in the rayCloud. To visualize the point groups using the predefined classification colors the Show Class Color option should be enabled from the drop-down list. When the Show Class Color option is not enabled, the selected point groups are displayed with their original colors. Note: Preselected colors are applied to the predefined point groups. User defined point groups are displayed as white points. Export the point cloud groups To export the point groups: 1. On the Menu bar, click View > rayCloud.2. On the left sidebar, in the Layers section expand