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Functions535 in github.com/auralius/noodle

⨍ Functions 535◇ Types & classes 14

↓ 1 callersFunctionsend_image_chunked

(ser: serial.Serial, img28_u8: np.ndarray)

examples/auto-encoder/test/sender.py:271

↓ 1 callersFunctionsend_image_chunked

(ser: serial.Serial, x784: np.ndarray)

examples/lenet-5-sdcard/test/blue-pill-sender.py:140

↓ 1 callersFunctionsend_image_get_output

(ser: serial.Serial, img_rgb_u8: np.ndarray, timeout_s: fl

examples/auto-encoder-scoliosis/test/sender.py:192

↓ 1 callersFunctionsend_image_get_output

(ser: serial.Serial, img28_u8: np.ndarray, timeout_s: float)

examples/auto-encoder/test/sender.py:309

↓ 1 callersFunctionsend_img_header_until_rdyimg

Send IMG until MCU responds with RDYIMG. Native USB CDC boards may reboot or miss the first three-byte header. If the firmware returns to REA

examples/squeezenet/test/squeezenet224_sender.py:165

↓ 1 callersFunctionsend_mem_buffers_once

examples/medical-mnist/src/pneumonia.cpp:199

↓ 1 callersFunctionsend_output_image

examples/auto-encoder-scoliosis/src/noodle_serial.cpp:62

↓ 1 callersFunctionsend_raw_256

(ser: serial.Serial, x256: np.ndarray)

examples/mobile-lenet-mega2560/test/mnist-sender.py:174

↓ 1 callersFunctionsend_raw_784

(ser: serial.Serial, x784: np.ndarray)

examples/lenet-5-sdcard/test/p4-sender.py:121

↓ 1 callersFunctionsend_raw_784

(ser: serial.Serial, x784: np.ndarray)

examples/mobile-lenet-esp32/test/mnist-sender.py:125

↓ 1 callersFunctionsend_raw_784

(ser: serial.Serial, x784: np.ndarray)

examples/lenet-5-esp32/test/mnist-sender.py:121

↓ 1 callersFunctionsend_raw_bytes

(ser: serial.Serial, payload_u8: np.ndarray)

examples/medical-mnist/test/blood-mnist-sender.py:172

↓ 1 callersFunctionserial_read_exact

===================================== Minimal serial helpers =====================================

examples/mlperf-vww-esp32/src/main.cpp:124

↓ 1 callersFunctionsetup_tflm

examples/squeezenet/src/main-tflm.cpp:222

↓ 1 callersFunctionsetup_tflm

examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:210

↓ 1 callersFunctionsetup_viewer

examples/mlperf-vww-esp32/test/send_test_data.py:82

↓ 1 callersFunctionstrip_header_wrapper

make_progem.py:51

↓ 1 callersFunctionsummarize

examples/fcn2-uno/src/main.cpp:185

↓ 1 callersFunctionsummarize

examples/lenet-5-esp32/src/main-cyd.cpp:209

↓ 1 callersFunctionsynthetic_ecg

Cartoon ECG generator (good for pipeline tests).

examples/peak-detect/test/ecg-sender.py:35

↓ 1 callersFunctionto_chw_u8

Convert image to uint8 CxWxW flattened, channel-stacked.

examples/medical-mnist/test/blood-mnist-sender.py:179

↓ 1 callersFunctionto_guard

↓ 1 callersFunctionto_guard

examples/mlperf-vww-esp32/data/txt2h.py:35

↓ 1 callersFunctiontrack_roi

examples/fcn2-uno/src/main.cpp:126

↓ 1 callersFunctiontrack_roi

Track ROI, the specific area where the drawing occurs

examples/lenet-5-esp32/src/main-cyd.cpp:160

↓ 1 callersFunctionwait_for_img_header

examples/firenet-cifar10/src/noodle_serial.cpp:90

↓ 1 callersFunctionwait_for_img_header

examples/auto-encoder-scoliosis/src/noodle_serial.cpp:88

↓ 1 callersFunctionwait_for_img_header

examples/lenet-5-sdcard/src/noodle_serial.cpp:90

↓ 1 callersFunctionwait_for_ready

(ser: serial.Serial, timeout_s: float = 20.0)

examples/lenet-5-sdcard/test/p4-sender.py:141

↓ 1 callersFunctionwait_for_ready

(ser, timeout_s=8.0)

examples/peak-detect/test/ecg-sender.py:105

↓ 1 callersFunctionwait_for_ready

(ser: serial.Serial, timeout_s: float = 20.0)

examples/medical-mnist/test/blood-mnist-sender.py:212

↓ 1 callersFunctionwait_for_ready

(ser: serial.Serial, timeout_s: float = 20.0)

examples/mobile-lenet-esp32/test/mnist-sender.py:145

↓ 1 callersFunctionwait_for_ready

(ser: serial.Serial, timeout_s: float = 20.0)

examples/lenet-5-esp32/test/mnist-sender.py:141

↓ 1 callersFunctionwait_for_ready_and_mem

(reader: SerialLineReader, timeout_s: float = 20.0)

examples/medical-mnist/test/pneumonia-mnist-sender.py:179

↓ 1 callersFunctionweights_from_tflite

Extract a Keras-like weights list from a float .tflite file. The returned list is compatible with exporter(weights, out_dir).

model_exporter.py:345

↓ 1 callersFunctionwrite_f32

(path: Path, values: list[float])

↓ 1 callersFunctionwrite_f32

(path: Path, values: list[float])

examples/lenet-5-sdcard/data/txt2bin.py:30

↓ 1 callersFunctionwrite_model_weights_header

(out_dir: str, w_count: int, b_count: int)

model_exporter.py:1075

(self, ser: serial.Serial)

examples/squeezenet/test/squeezenet224_sender.py:69

(self, ser: serial.Serial, verbose: bool = False)

examples/medical-mnist/test/pneumonia-mnist-sender.py:143

Function_tflite_transpose_conv2d_to_keras_hwoi

Convert common TFLite TRANSPOSE_CONV kernel to Keras Conv2DTranspose layout. Common TFLite: (Cout, Kh, Kw, Cin) Keras: (Kh, Kw, Cout,

model_exporter.py:663

examples/lenet-5-sdcard/src/main-p4.cpp:186

examples/squeezenet/test/squeezenet224_sender.py:88

Functionexporter_model

Export a Keras model layer-by-layer into Noodle-friendly files. Use this function for models containing Conv2DTranspose, because exporte

model_exporter.py:485

examples/firenet-cifar10/src/main_rp2350_firenet.cpp:356

examples/mlperf-vww-esp32/src/main.cpp:320

examples/squeezenet/src/main-tflm.cpp:324

examples/squeezenet/src/main.cpp:554

examples/auto-encoder-scoliosis/src/main.cpp:429

examples/fcn2-uno/src/main.cpp:209

examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:340

examples/auto-encoder/src/main.cpp:350

examples/lenet-5-sdcard/src/main-blue-pill.cpp:310

examples/lenet-5-sdcard/src/main-p4.cpp:143

examples/mlperf-ad-esp32/src/main.cpp:135

examples/peak-detect/src/main-32.cpp:128

examples/peak-detect/src/main-r4.cpp:141

examples/mobile-lenet-mega2560/src/main.cpp:281

examples/medical-mnist/src/blood.cpp:207

examples/medical-mnist/src/pneumonia.cpp:454

examples/mobile-lenet-esp32/src/main.cpp:199

examples/lenet-5-esp32/src/main-cyd.cpp:340

examples/lenet-5-esp32/src/main.cpp:153

Functionmaxpool2d_chw

examples/firenet-cifar10/src/main_rp2350_firenet.cpp:144

Functionnoodle_array_to_file

src/noodle_io.cpp:227

Functionnoodle_bn

Backward-compatible aliases. Existing code that calls noodle_bn(..., C, W, ...) keeps the old Conv2D/channel-first behavior. New code should prefer th

src/noodle_math.cpp:176

Functionnoodle_bn1d

src/noodle_math.cpp:57

Functionnoodle_bn1d_relu

src/noodle_math.cpp:82

Functionnoodle_concat

src/noodle_tensor.cpp:288

Functionnoodle_conv1d

src/noodle_tensor.cpp:161

Functionnoodle_conv_byte

src/noodle_conv.cpp:445

Functionnoodle_create_buffer

src/noodle_memory.cpp:88

Functionnoodle_delete_buffer

src/noodle_memory.cpp:92

Functionnoodle_delete_file

src/noodle_io.cpp:223

Functionnoodle_do_bias

src/noodle_internal.cpp:160

Functionnoodle_dwconv2d

src/noodle_tensor.cpp:192

Functionnoodle_fcn

src/noodle_tensor.cpp:303

Functionnoodle_flat

src/noodle_tensor.cpp:275

Functionnoodle_gap

src/noodle_tensor.cpp:255

Functionnoodle_gmp

src/noodle_tensor.cpp:265

Functionnoodle_gmp

src/noodle_shape.cpp:79

Functionnoodle_grid_to_file

src/noodle_io.cpp:243

Functionnoodle_logit

src/noodle_math.cpp:260

Functionnoodle_pool2d

src/noodle_tensor.cpp:240

Functionnoodle_read_byte

src/noodle_io.cpp:191

Functionnoodle_read_top_line

src/noodle_io.cpp:8

Functionnoodle_relu

src/noodle_math.cpp:275

Functionnoodle_relu

src/noodle_tensor.cpp:358

Functionnoodle_sigmoid

src/noodle_tensor.cpp:353

Functionnoodle_soft_max

src/noodle_tensor.cpp:348

Functionnoodle_temp_buffers_free

src/noodle_memory.cpp:75

Functionnoodle_tensor_buffer

* @brief Return the mutable backing NoodleBuffer. * @ingroup noodle_public * * @param t Tensor descriptor to inspect. * @return Backing buffer des

src/noodle_tensor.h:172

Functionnoodle_tensor_capacity

src/noodle_tensor.cpp:74

Functionnoodle_tensor_capacity_bytes

src/noodle_tensor.cpp:79

Functionnoodle_tensor_const_buffer

* @brief Return the immutable backing NoodleBuffer. * @ingroup noodle_public * * @param t Tensor descriptor to inspect. * @return Backing buffer d

src/noodle_tensor.h:183

Functionnoodle_tensor_const_data

* @brief Return immutable tensor data. * @ingroup noodle_public * * @param t Tensor descriptor to inspect. * @return Backing float pointer, or NUL

src/noodle_tensor.h:161

Functionnoodle_tensor_data

* @brief Return mutable tensor data. * @ingroup noodle_public * * @param t Tensor descriptor to inspect. * @return Backing float pointer, or NULL

src/noodle_tensor.h:150

Functionnoodle_tensor_free

src/noodle_tensor.cpp:33

Functionnoodle_tensor_idx1d

* @brief Compute the flat index for packed `[C][W]` tensor data. * @ingroup noodle_public * * This helper performs no bounds checks. * * @param c

src/noodle_tensor.h:198

Functionnoodle_tensor_idx2d

* @brief Compute the flat index for packed `[C][W][W]` tensor data. * @ingroup noodle_public * * This helper performs no bounds checks. * * @para

src/noodle_tensor.h:214

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