From e66051e72902a3673f1e4a3f5b95f7b9ed9e7a5b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?O=C4=9Fuzhan=20B=C3=BCy=C3=BCksolak?= Date: Wed, 26 Jun 2024 16:31:44 +0300 Subject: [PATCH 1/2] Replace Face Detection Library (#320) --- datasets/vggface2.py | 39 +++++++++++++++++++-------------------- requirements.txt | 2 +- 2 files changed, 20 insertions(+), 21 deletions(-) diff --git a/datasets/vggface2.py b/datasets/vggface2.py index a36d258c1..8d84d6def 100644 --- a/datasets/vggface2.py +++ b/datasets/vggface2.py @@ -23,8 +23,8 @@ from torchvision import transforms import cv2 -import face_detection import kornia.geometry.transform as GT +from batch_face import RetinaFace from PIL import Image from skimage import transform as trans from tqdm import tqdm @@ -38,7 +38,7 @@ class VGGFace2(Dataset): VGGFace2 Dataset """ def __init__(self, root_dir, d_type, mode, transform=None, - teacher_transform=None, img_size=(112, 112)): + teacher_transform=None, img_size=(112, 112), args=None): if d_type not in ('test', 'train'): raise ValueError("d_type can only be set to 'test' or 'train'") @@ -47,6 +47,7 @@ def __init__(self, root_dir, d_type, mode, transform=None, raise ValueError("mode can only be set to 'detection', 'identification'," "or 'identification_dr'") + self.device = args.device self.root_dir = root_dir self.d_type = d_type self.transform = transform @@ -99,8 +100,11 @@ def __extract_gt(self): """ Extracts the ground truth from the dataset """ - detector = face_detection.build_detector("RetinaNetResNet50", confidence_threshold=.5, - nms_iou_threshold=.4) + if self.device == 'cuda': + detector = RetinaFace(gpu_id=torch.cuda.current_device(), network="resnet50") + else: + detector = RetinaFace(gpu_id=-1, network="resnet50") + img_paths = list(glob.glob(os.path.join(self.d_path + '/**/', '*.jpg'), recursive=True)) nf_number = 0 words_count = 0 @@ -111,22 +115,17 @@ def __extract_gt(self): boxes = [] image = cv2.imread(jpg) - img_max = max(image.shape[0], image.shape[1]) - if img_max > 1320: - continue - bboxes, lndmrks = detector.batched_detect_with_landmarks(np.expand_dims(image, 0)) - bboxes = bboxes[0] - lndmrks = lndmrks[0] + faces = detector(image) - if (bboxes.shape[0] == 0) or (lndmrks.shape[0] == 0): + if len(faces) == 0: nf_number += 1 continue - for box in bboxes: + for face in faces: + box = face[0] box = np.clip(box[:4], 0, None) boxes.append(box) - - lndmrks = lndmrks[0] + lndmrks = faces[0][1] dir_name = os.path.dirname(jpg) lbl = os.path.relpath(dir_name, self.d_path) @@ -343,7 +342,7 @@ def VGGFace2_FaceID_get_datasets(data, load_train=True, load_test=True, img_size train_dataset = VGGFace2(root_dir=data_dir, d_type='train', mode='identification', transform=train_transform, teacher_transform=teacher_transform, - img_size=img_size) + img_size=img_size, args=args) print(f'Train dataset length: {len(train_dataset)}\n') else: @@ -355,7 +354,7 @@ def VGGFace2_FaceID_get_datasets(data, load_train=True, load_test=True, img_size test_dataset = VGGFace2(root_dir=data_dir, d_type='test', mode='identification', transform=test_transform, teacher_transform=teacher_transform, - img_size=img_size) + img_size=img_size, args=args) print(f'Test dataset length: {len(test_dataset)}\n') else: @@ -378,7 +377,7 @@ def VGGFace2_FaceID_dr_get_datasets(data, load_train=True, load_test=True, img_s if load_train: train_dataset = VGGFace2(root_dir=data_dir, d_type='train', mode='identification_dr', - transform=train_transform, img_size=img_size) + transform=train_transform, img_size=img_size, args=args) print(f'Train dataset length: {len(train_dataset)}\n') else: @@ -389,7 +388,7 @@ def VGGFace2_FaceID_dr_get_datasets(data, load_train=True, load_test=True, img_s ai8x.normalize(args=args)]) test_dataset = VGGFace2(root_dir=data_dir, d_type='test', mode='identification_dr', - transform=test_transform, img_size=img_size) + transform=test_transform, img_size=img_size, args=args) print(f'Test dataset length: {len(test_dataset)}\n') else: @@ -409,7 +408,7 @@ def VGGFace2_Facedet_get_datasets(data, load_train=True, load_test=True, img_siz ai8x.normalize(args=args)]) train_dataset = VGGFace2(root_dir=data_dir, d_type='train', mode='detection', - transform=train_transform, img_size=img_size) + transform=train_transform, img_size=img_size, args=args) print(f'Train dataset length: {len(train_dataset)}\n') else: @@ -419,7 +418,7 @@ def VGGFace2_Facedet_get_datasets(data, load_train=True, load_test=True, img_siz test_transform = transforms.Compose([ai8x.normalize(args=args)]) test_dataset = VGGFace2(root_dir=data_dir, d_type='test', mode='detection', - transform=test_transform, img_size=img_size) + transform=test_transform, img_size=img_size, args=args) print(f'Test dataset length: {len(test_dataset)}\n') else: diff --git a/requirements.txt b/requirements.txt index dbf6502ac..a1662a779 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,7 +6,7 @@ Pillow>=7 PyYAML>=5.1.1 albumentations>=1.3.0 faiss-cpu==1.7.4 -face-detection==0.2.2 +batch-face>=1.4.0 h5py>=3.7.0 kornia==0.6.8 librosa>=0.7.2 From bc32ee92907d4849a6de7ab26c080b0d2e23b9ea Mon Sep 17 00:00:00 2001 From: Robert Muchsel <16564465+rotx-maxim@users.noreply.github.com> Date: Wed, 26 Jun 2024 08:43:32 -0500 Subject: [PATCH 2/2] README: Minor documentation updates for RISC-V tools (#322) --- README.md | 60 ++++++++++++++++++++++++++--------------------------- README.pdf | Bin 6727858 -> 6727882 bytes 2 files changed, 30 insertions(+), 30 deletions(-) diff --git a/README.md b/README.md index 6296dc0b4..f55d69335 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ADI MAX78000/MAX78002 Model Training and Synthesis -June 18, 2024 +June 25, 2024 **Note: This branch is compatible with PyTorch 1.8. Please go to the “pytorch-2” branch for PyTorch 2.3 compatibility.** @@ -606,7 +606,7 @@ The MSDK is also available as a [git repository](https://github.com/analogdevice fi # RISC-V GCC - RISCVGCC_DIR=/usr/local/xpack-riscv-none-embed-gcc-10.2.0-1.2 # Change me! + RISCVGCC_DIR=/usr/local/xpack-riscv-none-elf-gcc-12.3.0-2 # Change me! echo $PATH | grep -q -s "$RISCVGCC_DIR/bin" if [ $? -eq 1 ] ; then     PATH=$PATH:"$RISCVGCC_DIR/bin" @@ -2133,7 +2133,7 @@ The following table describes the most important command line arguments for `ai8 | ------------------------ | ------------------------------------------------------------ | ------------------------------- | | `--help` | Complete list of arguments | | | *Device selection* | | | -| `--device` | Set device (MAX78000, or MAX78002) | `--device MAX78002` | +| `--device` | Set device (MAX78000, or MAX78002) | `--device MAX78002` | | *Hardware features* | | | | `--avg-pool-rounding` | Round average pooling results | | | `--simple1b` | Use simple XOR instead of 1-bit multiplication | | @@ -2147,14 +2147,14 @@ The following table describes the most important command line arguments for `ai8 | `--overwrite` | Produce output even when the target directory exists (default: abort) | | | `--compact-weights` | Use *memcpy* to load weights in order to save code space | | | `--mexpress` | Use faster kernel loading (default) | | -| `--no-mexpress` | Use alternate kernel loading (slower) | | +| `--no-mexpress` | Use alternate kernel loading (slower) | | | `--mlator` | Use hardware to swap output bytes (useful for large multi-channel outputs) | | | `--softmax` | Add software Softmax functions to generated code | | | `--boost` | Turn on a port pin to boost the CNN supply | `--boost 2.5` | | `--timer` | Insert code to time the inference using a timer | `--timer 0` | -| `--no-wfi` | Do not use WFI (wait for interrupt) instructions and do not enter sleep mode when waiting for CNN completion. This is required for very fast, small networks. | | -| `--define` | Additional preprocessor defines | `--define "FAST GOOD"` | -| *MAX78002* | | | +| `--no-wfi` | Do not use WFI (wait for interrupt) instructions and do not enter sleep mode when waiting for CNN completion. This is required for very fast, small networks. | | +| `--define` | Additional preprocessor defines | `--define "FAST GOOD"` | +| *MAX78002* | | | | `--no-pipeline` | **MAX78002 only**: Disable the pipeline and run the CNN on the slower APB clock. This reduces power consumption, but increases inference time and in most cases overall energy usage. | | | `--max-speed` | **MAX78002 only:** In pipeline mode, load weights and input data on the PLL clock divided by 1 instead of divided by 4. This is approximately 50% faster, but uses 200% of the energy compared to the default settings. | | | *File names* | | | @@ -2182,7 +2182,7 @@ The following table describes the most important command line arguments for `ai8 | `--debug-computation` | Debug computation (SLOW) | | | `--stop-after` | Stop after layer | `--stop-after 2` | | `--one-shot` | Use layer-by-layer one-shot mechanism | | -| `--ignore-bias-groups` | Do not force `bias_group` to only available x16 quadrants | | +| `--ignore-bias-groups` | Do not force `bias_group` to only available x16 quadrants | | | *Streaming tweaks* | | | | `--overlap-data` | Allow output to overwrite input | | | `--override-start` | Override auto-computed streaming start value (x8 hex) | | @@ -2195,7 +2195,7 @@ The following table describes the most important command line arguments for `ai8 | `--ignore-streaming` | Ignore all 'streaming' layer directives | | | *Power saving* | | | | `--powerdown` | Power down unused MRAM instances | | -| `--deepsleep` | Put Arm core into deep sleep | | +| `--deepsleep` | Put Arm core into deep sleep | | | *Hardware settings* | | | | `--input-offset` | First layer input offset (x8 hex, defaults to 0x0000) | `--input-offset 2000` | | `--mlator-noverify` | Do not check both mlator and non-mlator output | | @@ -2206,13 +2206,13 @@ The following table describes the most important command line arguments for `ai8 | `--ready-sel` | Specify memory waitstates | | | `--ready-sel-fifo` | Specify FIFO waitstates | | | `--ready-sel-aon` | Specify AON waitstates | | -| Various | | | +| *Various* | | | | `--synthesize-input` | Instead of using large sample input data, use only the first `--synthesize-words` words of the sample input, and add N to each subsequent set of `--synthesize-words` 32-bit words | `--synthesize-input 0x112233` | | `--synthesize-words` | When using `--synthesize-input`, specifies how many words to use from the input. The default is 8. This number must be a divisor of the total number of pixels per channel. | `--synthesize-words 64` | -| `--max-verify-length` | Instead of checking all of the expected output data, verify only the first N words | `--max-verify-length 1024` | +| `--max-verify-length` | Instead of checking all of the expected output data, verify only the first N words | `--max-verify-length 1024` | | `--no-unload` | Do not create the `cnn_unload()` function | | -| `--no-kat` | Do not generate the `check_output()` function (disable known-answer test) | | -| `--no-deduplicate-weights` | Do not deduplicate weights and and bias values | | +| `--no-kat` | Do not generate the `check_output()` function (disable known-answer test) | | +| `--no-deduplicate-weights` | Do not deduplicate weights and and bias values | | ### YAML Network Description @@ -3120,27 +3120,27 @@ In order to upgrade an embedded project after retraining the model, point the ne The generator also adds all files from the `assets/eclipse`, `assets/device-all`, and `assets/embedded-*` folders. These files (when starting with `template` in their name) will be automatically customized to include project-specific information as shown in the following table: -| Key | Replaced by | -| ------------------------- | ------------------------------------------------------------ | +| Key | Replaced by | +| ------------------------- | -------------------------------------------------------------------------------- | | `##__PROJ_NAME__##` | Project name (works on file names as well as the file contents), from `--prefix` | -| `##__ELF_FILE__##` | Output elf (binary) file name (`PROJECT.elf` or `PROJECT-combined.elf`) | -| `##__BOARD__##` | Board name (e.g., `EvKit_V1`), from `--board-name` | -| `##__FILE_INSERT__##` | Network statistics and timer | -| `##__OPENOCD_PARAMS__##` | OpenOCD arguments (e.g., `-f interface/cmsis-dap.cfg -f target/max7800x.cfg`), from `--eclipse-openocd-args` | -| `##__TARGET_UC__##` | Upper case device name (e.g., `MAX78000`), from `--device` | -| `##__TARGET_LC__##` | Lower case device name (e.g., `max78000`), from `--device` | -| `##__ADDITIONAL_INCLUDES__##` | Additional include files, from `--eclipse-includes` (default: empty) | -| `##__GCC_PREFIX__##` | `arm-non-eabi-` or `riscv-none-embed-` | +| `##__ELF_FILE__##` | Output elf (binary) file name (`PROJECT.elf` or `PROJECT-combined.elf`) | +| `##__BOARD__##` | Board name (e.g., `EvKit_V1`), from `--board-name` | +| `##__FILE_INSERT__##` | Network statistics and timer | +| `##__OPENOCD_PARAMS__##` | OpenOCD arguments (e.g., `-f interface/cmsis-dap.cfg -f target/max7800x.cfg`), from `--eclipse-openocd-args` | +| `##__TARGET_UC__##` | Upper case device name (e.g., `MAX78000`), from `--device` | +| `##__TARGET_LC__##` | Lower case device name (e.g., `max78000`), from `--device` | +| `##__ADDITIONAL_INCLUDES__##` | Additional include files, from `--eclipse-includes` (default: empty) | +| `##__GCC_PREFIX__##` | `arm-non-eabi-` or `riscv-none-elf-` | | `##__DEFINES__##`
*or* `##__GCC_SUFFIX__##` | Additional #defines (e.g., `-D SUPERSPEED`), from `--define` (default: empty) | | `##__DEFINES_ARM__##`
*or* `##__ARM_DEFINES__##` | Replace default ARM #defines, from `--define-default-arm` (default: `"MXC_ASSERT_ENABLE ARM_MATH_CM4"`) | | `##__DEFINES_RISCV__##`
*or* `##__RISC_DEFINES__##` | Replace default RISC-V #defines, from `--define-default-riscv` (default: `"MXC_ASSERT_ENABLE RV32"`) | -| `##__PROCESSOR_DEFINES__##` | Selects the #defines for the active processor (Arm or RISC-V) | -| `##__ADDITIONAL_VARS__##` | Additional variables, from `--eclipse-variables` (default: empty) | -| `##__PMON_GPIO_PINS__##` | Power Monitor GPIO pins | -| `##__CNN_START__##` | Port pin action when CNN starts | -| `##__CNN_COMPLETE__##` | Port pin action when CNN finishes | -| `##__SYS_START__##` | Port pin action when system starts | -| `##__SYS_COMPLETE__##` | Port pin action when system finishes | +| `##__PROCESSOR_DEFINES__##` | Selects the #defines for the active processor (Arm or RISC-V) | +| `##__ADDITIONAL_VARS__##` | Additional variables, from `--eclipse-variables` (default: empty) | +| `##__PMON_GPIO_PINS__##` | Power Monitor GPIO pins | +| `##__CNN_START__##` | Port pin action when CNN starts | +| `##__CNN_COMPLETE__##` | Port pin action when CNN finishes | +| `##__SYS_START__##` | Port pin action when system starts | +| `##__SYS_COMPLETE__##` | Port pin action when system finishes | *Note: The vscode templates are treated differently and not designed to be modified by the user.* diff --git a/README.pdf b/README.pdf index b1a171b84694365041c08f371d20a5c09b7bd115..60253bf98db9ee7fc12f4c11bdca11ddd361be17 100644 GIT binary patch delta 114484 zcmYJ)Q*b6t+W_F$$;P&A+qP}n*x-q6+qP}n+1T7*lZ~^{_q_EV{0CQ6&)r>9Gt>7> zO;7hUFJ*&I10{-payN-?g91LOFAH0siBL!tB9U7ObrpP*qmfW|+AX-W;Pg-3vi1>W ziatMSvsXdieK86;<6;qY!vxHcp4(V5<)7xroLKMr+(h9KvjzzAjAM69-A=IvgZH;Z znIr}p6QSJ5J4mebZ>e&0?IC)Lf6M8eTj`z0=E^#oE=AIF(vhcuW@ww|nMi_@N6k#V z$vntKWs*S@0b+;+k=0PQE~BUoNIw%)=ZDC{=_Y?odt3{kW|wRf=f0R`v;{I zB|Q8>$%S!S@!=&3`X)Gm(>SBssrU)1Zxx3rVWbXHjL%ONiVuknk05=Ez{@4HnG483 zj~b3D#2)gz^<0#XH1Mr{jJDWELPdxni63YBZtX&l`+2uEp3mIBvR&{!gm6$J#d%zE zacyHIAu`1t)zAt+~1ipm>i921Wtfd=nM8qDYGPIbbC|;Sq`G%_L}S%(^^=gs5wS)4)^qCDya1a4|NhsNQ}~&DxIcX>=(0sFx)sxJKqYgGl+urdY&fPGc<*J+iNON 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